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Paper Citation Record · LEDGER

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice

As of 22 August 2026, this Paper Citation Record lists 100 of 157 outbound references and 0 inbound Pith citation observations for arXiv:2507.22589.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2507.22589 v1

Coverage vector

measured 100 of 157 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:35:20.358172Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

100 of 157 outbound references displayed

  • verified exact6
  • verified fuzzy18
  • unresolved76
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a815f203-2f09-4710-a15e-80e9045a181e · outbound

This paper cites Dy- namics of information exchange in endogenous social networks,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Dy- namics of information exchange in endogenous social networks,

Reference 1

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Observation 9fdcee32-eb60-48b8-bedd-72bd3bb1567d · outbound

This paper cites On influential node discovery in dynamic social networks,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice On influential node discovery in dynamic social networks,

Reference 2

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source=pdf_text observed=2026-08-06T11:35:19.933917Z digest=sha256:1ebe3ca27a3362c743ad8f794172c82390548be59f1fc913a918020cbdc94325

Observation b94b150a-2dbc-4f2b-b057-091869fe17fb · outbound

This paper cites Static approximation methods for influence maximization in social networks,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Static approximation methods for influence maximization in social networks,

Reference 3

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Observation 08f49208-35c2-45f4-8b8c-92deca18ba36 · outbound

This paper cites Toward information diffusion model for viral marketing in business,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Toward information diffusion model for viral marketing in business,

Reference 4

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source=pdf_text observed=2026-08-06T11:35:19.942653Z digest=sha256:705d642ece3b8d561dea480279a7d5e14868854cd917e34f8877d6797cf9dd34

Observation 13c4de4e-b70e-4167-be04-684e75ac7873 · outbound

This paper cites Global diffusion via cascading invitations: Structure, growth, and homophily,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Global diffusion via cascading invitations: Structure, growth, and homophily,

Reference 5

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source=pdf_text observed=2026-08-06T11:35:19.947711Z digest=sha256:3b0465147f5159cbb7e455f1de1c7ce1b2b1475ecf6b1682e73282653638d43f

Observation 7eb00bae-4cca-42d9-89f4-2a28ae463dad · outbound

This paper cites Asim: An efficient algorithm for influence maximization under the independent cascade model,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Asim: An efficient algorithm for influence maximization under the independent cascade model,

Reference 6

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source=pdf_text observed=2026-08-06T11:35:19.951728Z digest=sha256:8b91960ad15bfd5eff0e0e819a8e271b0e4a229281cd3e81d799b2d1938d62d9

Observation d7ea1197-e6eb-4df1-a7aa-731ac0d61079 · outbound

This paper cites The role of social networks in information diffusion,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice The role of social networks in information diffusion,

Reference 7

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source=pdf_text observed=2026-08-06T11:35:19.956361Z digest=sha256:1772e380a8d086c7e26ed2980e1902252abedfb79c3c3b7955204aa6ec775624

Observation 33609a7f-1dd2-4f97-917c-3b502f9c1da1 · outbound

This paper cites Topic-aware influence maxi- mization in social networks,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Topic-aware influence maxi- mization in social networks,

Reference 8

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source=pdf_text observed=2026-08-06T11:35:19.960327Z digest=sha256:b2932b6e4d1ede0eb0e1c08fbf31f66b30bc4b1e2798806030928a13caa71ee4

Observation 57af7517-83e7-495a-9b70-3deba41b178b · outbound

This paper cites Topic-aware social influence propagation models,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Topic-aware social influence propagation models,

Reference 9

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source=pdf_text observed=2026-08-06T11:35:19.964724Z digest=sha256:9e06252babaf21ac00b26a144991288cd0fefb9ba7e6aa2071d755c02ff150d4

Observation 74c1e442-deba-4f65-b065-005d9f9a6267 · outbound

This paper cites A new product growth model for consumer durables,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice A new product growth model for consumer durables,

Reference 10

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source=pdf_text observed=2026-08-06T11:35:19.969384Z digest=sha256:3744a5201cd82dba5a0fd90e398aa3aeee7d97b710eb4c5ab4e5d8093713d686

Observation 8caa2421-6a58-47f4-80b1-7b91936d9271 · outbound

This paper cites Bounds on the Voter Model in Dynamic Networks.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Bounds on the Voter Model in Dynamic Networks

Reference 11

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source=pdf_text observed=2026-08-06T11:35:19.974076Z digest=sha256:468cfcb138f8170600e09b3f477df6d8f2b99e3ce093ec78f9ff65b04b562ca2

Observation fcf91eeb-8607-4347-bfb2-84a5d1477a10 · outbound

This paper cites Max- imizing product adoption in social networks,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Max- imizing product adoption in social networks,

Reference 12

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source=pdf_text observed=2026-08-06T11:35:19.978268Z digest=sha256:f80568ee23ef17d81724fd9541ac82e15b3b6c651967dc0f966b602f91707113

Observation 3e4f813e-a000-4e51-9ddb-f4980fcfa3d4 · outbound

This paper cites Opinion shaping in social networks using reinforcement learning,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Opinion shaping in social networks using reinforcement learning,

Reference 13

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source=pdf_text observed=2026-08-06T11:35:19.983788Z digest=sha256:28eb1e6c7710f71f0db7f239d8537a12d85f9b67ae5f7d12c98342b7cd777f0d

Observation 62c8d50f-ac6b-4527-8634-9722cb1c1440 · outbound

This paper cites Threshold models for competitive influence in social networks,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Threshold models for competitive influence in social networks,

Reference 14

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source=pdf_text observed=2026-08-06T11:35:19.987837Z digest=sha256:05e106125badadb01dec2d587fa9181d378567fcebfda154672af50152965e94

Observation 2317d257-9282-4bcc-bd1d-48fe0ae00ec3 · outbound

This paper cites Community-based influence maximization in social networks under a competitive linear threshold model,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Community-based influence maximization in social networks under a competitive linear threshold model,

Reference 15

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source=pdf_text observed=2026-08-06T11:35:19.996071Z digest=sha256:cd62961c064cc845fb4048828908a2a7073edc45310a9f858c62b037437cd88e

Observation 79f5d525-368d-4d16-b000-5270578e8055 · outbound

This paper cites Epidemiological modeling of online social network dynamics.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Epidemiological modeling of online social network dynamics

Reference 16

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T11:35:19.999998Z digest=sha256:022289818050f26673ab592158e514bc16ebd24157fab309b6635432ec3554d5

Observation 89d54b80-b422-4c7f-a632-3d9553f2bbf8 · outbound

This paper cites Maximizing influence in a competitive social network: a follower’s perspective,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Maximizing influence in a competitive social network: a follower’s perspective,

Reference 17

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source=pdf_text observed=2026-08-06T11:35:20.004676Z digest=sha256:40b938cafc9cf8354bb5439b93afeae59e8f977decdff9e2f1126a362e2f5fd4

Observation 405e3dca-703c-4651-8900-a921b3a69d31 · outbound

This paper cites Competitive influ- ence maximisation using voting dynamics,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Competitive influ- ence maximisation using voting dynamics,

Reference 18

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source=pdf_text observed=2026-08-06T11:35:20.008858Z digest=sha256:af4b4ff9de220cede55246c0be7aeeaee7047a7f55106dcfbcd8f0ee1be0a29d

Observation 3a12b01e-cb3d-4ca6-9a90-e7e1d500411e · outbound

This paper cites Dynamic node influence tracking based influence maximization on dynamic social networks,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Dynamic node influence tracking based influence maximization on dynamic social networks,

Reference 19

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source=pdf_text observed=2026-08-06T11:35:20.012409Z digest=sha256:9a6c18f1a7caa04c4245fe9c5fb3116fcb8ad892be760cc9c02eea0083520dda

Observation 6e8708cf-ae65-4790-9b31-001077ed9d48 · outbound

This paper cites Identifying method for opinion leaders in social network based on competency model,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Identifying method for opinion leaders in social network based on competency model,

Reference 20

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source=pdf_text observed=2026-08-06T11:35:20.016546Z digest=sha256:d1092ad419b6429619a79fa7546bf5f8ae5be209a582b4fd978cdb0e233554e0

Observation 7dc64ebe-1ab4-4389-8b52-4850790b6fb7 · outbound

This paper cites Threshold-based heuristic algorithm for influence maximization,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Threshold-based heuristic algorithm for influence maximization,

Reference 21

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source=pdf_text observed=2026-08-06T11:35:20.020891Z digest=sha256:9e1940e86e0b24de480d0f45959f473b5800dc4140c3394ef6b0ec08c08991c6

Observation ad98fd28-7920-4bb9-a1a7-59d69528f8a6 · outbound

This paper cites On the approximability of influence in social networks,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice On the approximability of influence in social networks,

Reference 22

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source=pdf_text observed=2026-08-06T11:35:20.025109Z digest=sha256:22f7c5cbdcae2bb0fcb8d02beb7794461bff1b4814e00f35b8b567d46e9a9864

Observation 13710184-9ef0-4c03-8e23-3d342e1f146f · outbound

This paper cites Diffusion capacity analysis of complex network based on the cluster distribution,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Diffusion capacity analysis of complex network based on the cluster distribution,

Reference 23

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source=pdf_text observed=2026-08-06T11:35:20.029822Z digest=sha256:645e1c2026de63b591315dadabbf7515a7def6c62c68a6498c7aa7810cd5ea54

Observation 0a068600-f884-4da6-ad54-24561e7e4b89 · outbound

This paper cites In- fluence maximization in social networks when negative opinions may emerge and propagate,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice In- fluence maximization in social networks when negative opinions may emerge and propagate,

Reference 24

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source=pdf_text observed=2026-08-06T11:35:20.033516Z digest=sha256:dc2fc1cface149555599b3b6457f2cb0f10a081d69e5540730d117383c2039bc

Observation 160f2015-9f8e-4459-b463-5998f501ba9d · outbound

This paper cites Scalable influence maximization in social networks under the linear thresh- old model,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Scalable influence maximization in social networks under the linear thresh- old model,

Reference 25

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source=pdf_text observed=2026-08-06T11:35:20.038221Z digest=sha256:c6618a1906aff1ab8b88fb6dc706791879281e799d14ba429e2ff6db4c84025f

Observation 935630a2-0b6c-46c2-976e-d42a5f421f57 · outbound

This paper cites On influential nodes tracking in dynamic social networks,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice On influential nodes tracking in dynamic social networks,

Reference 26

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source=pdf_text observed=2026-08-06T11:35:20.043006Z digest=sha256:f9833cf0ba7675fe059cf88017bbf872b4108bed908d35072b16c32769f4b9af

Observation 882be638-d876-4251-adc3-a1c13393ff13 · outbound

This paper cites Role of network struc- ture and network effects in diffusion of innovations,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Role of network struc- ture and network effects in diffusion of innovations,

Reference 27

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source=pdf_text observed=2026-08-06T11:35:20.046491Z digest=sha256:5165afbc6f123aac1741f62ff3d8bd2fe99cb2483fb0c5f7a62ce03522bb1ceb

Observation dea2ea40-2ce8-4124-bc16-1b495be5bac0 · outbound

This paper cites Non-markovian models of opinion dynamics on temporal networks,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Non-markovian models of opinion dynamics on temporal networks,

Reference 28

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation c165f9c8-e058-4da0-93a2-14d2be218f5f · outbound

This paper cites Non-markovian opinion dynam- ics with arbitrary waiting-time distributions,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Non-markovian opinion dynam- ics with arbitrary waiting-time distributions,

Reference 29

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source=pdf_text observed=2026-08-06T11:35:20.055984Z digest=sha256:70e069f7ab84b2f4b7fcc52c4c2f6a16f89cf637e83aa1c3eb5f9634f24dc28c

Observation d8b8fa80-2192-440b-a1da-a85256174fc4 · outbound

This paper cites Modeling information diffusion in time-varying community networks,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Modeling information diffusion in time-varying community networks,

Reference 30

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Observation a2641da4-fa5b-4f8d-bbb3-84b4834269ce · outbound

This paper cites Targeting and timing promotional activities: An agent-based model for the takeoff of new products,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Targeting and timing promotional activities: An agent-based model for the takeoff of new products,

Reference 31

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source=pdf_text observed=2026-08-06T11:35:20.063247Z digest=sha256:07b44ecb991d2b026b6af11d5fbd252a16f7c5759bc5933d516f07a865a14e48

Observation a4226b67-8d5b-4b74-8262-ab1ea496fa67 · outbound

This paper cites Micro-structured diffusion in social networks,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Micro-structured diffusion in social networks,

Reference 32

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source=pdf_text observed=2026-08-06T11:35:20.066727Z digest=sha256:bd5b6580a57018c4b40c95998a2b5465b86c8e563acaa2cb0f10ecc718f71999

Observation a0056649-ff1d-460e-8dfc-8fef9fdaa74a · outbound

This paper cites Research on propagation model of public opinion topics based on scir in microblogging,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Research on propagation model of public opinion topics based on scir in microblogging,

Reference 33

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source=pdf_text observed=2026-08-06T11:35:20.071426Z digest=sha256:68e19224a7360914d53d668213cf059e53330a26b054d4d76723a03fc123d0d7

Observation 5ce151d1-8141-4520-ba38-800e514a5d36 · outbound

This paper cites Lecture notes on particle systems and percolation,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Lecture notes on particle systems and percolation,

Reference 34

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source=pdf_text observed=2026-08-06T11:35:20.075100Z digest=sha256:6b91e5903c7329e6dd6344341ace8c681172c0488b798d210d60820d4a012d03

Observation bedfbcc5-6da1-4d5d-8c46-7a98c1e235cc · outbound

This paper cites Competitive facility location models,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Competitive facility location models,

Reference 35

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source=pdf_text observed=2026-08-06T11:35:20.078671Z digest=sha256:dc7d4f19bd043a8565360425677f21241dbbd24435bb7a5005c29fb2083ac906

Observation afbcee67-7362-4081-8d8c-f640052a3932 · outbound

This paper cites Competitive spatial models,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Competitive spatial models,

Reference 36

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source=pdf_text observed=2026-08-06T11:35:20.084519Z digest=sha256:bd11700a712ef7c1ad2f9ac791e29e3dea590a0432ffbc5253b92b0d53340563

Observation e7eb5813-d395-4bfb-a593-b27bee97df2f · outbound

This paper cites Influence max- imization on temporal networks,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Influence max- imization on temporal networks,

Reference 37

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source=pdf_text observed=2026-08-06T11:35:20.088052Z digest=sha256:f20f74ce6bda56431e586ff30f9bc852270342d6fc9590bb969ce5fae71d1962

Observation ad3e1376-6599-4efb-9157-1bb4e07fd73a · outbound

This paper cites An individual-based model of information diffusion combining friends influence,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice An individual-based model of information diffusion combining friends influence,

Reference 38

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source=pdf_text observed=2026-08-06T11:35:20.091666Z digest=sha256:c69953c65744e1e870a6e69cb27fb4adc557b51f01db8bceee27e42b9b54bb23

Observation ecf9365f-5308-422d-bc2a-a07c6c527dce · outbound

This paper cites Competing for attention in social media under information overload conditions,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Competing for attention in social media under information overload conditions,

Reference 39

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source=pdf_text observed=2026-08-06T11:35:20.095304Z digest=sha256:4e8ef49565ab65e26bf8192b5c0846430e7b7ca6fdf891eee95b0bc608a39465

Observation 9457fa08-bb36-4d38-98e6-9092de4499b6 · outbound

This paper cites Asim: A scalable algorithm for influence maximization under the independent cascade model,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Asim: A scalable algorithm for influence maximization under the independent cascade model,

Reference 40

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source=pdf_text observed=2026-08-06T11:35:20.098877Z digest=sha256:025c43f211016925f802dd1dc0478c4fc79a2a6ab5a64d7c330846647bd8c155

Observation 79d4ce08-cd6b-476f-be8e-930e80142064 · outbound

This paper cites Fair- aware competitive event influence maximization in so- cial networks,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Fair- aware competitive event influence maximization in so- cial networks,

Reference 41

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source=pdf_text observed=2026-08-06T11:35:20.103091Z digest=sha256:198ceaf5ace4d6d65c2a8c8e3dbcbe8c9dc7801dfcc513751016f7f6d7065076

Observation 3ffb50ab-568f-45d1-b4e0-f0a7b444972c · outbound

This paper cites Taxonomy and evaluation for microblog popularity prediction,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Taxonomy and evaluation for microblog popularity prediction,

Reference 42

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source=pdf_text observed=2026-08-06T11:35:20.107273Z digest=sha256:14172c8a8fc4c3a564b09569aca3d6d46da25acf57af560d597033c411bf9b26

Observation fd39d7ce-0356-421c-8d00-c29a19cc5fc8 · outbound

This paper cites Fair-aware competitive event in- fluence maximization in social networks,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Fair-aware competitive event in- fluence maximization in social networks,

Reference 43

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source=pdf_text observed=2026-08-06T11:35:20.111109Z digest=sha256:346961ab9c24ced5e17580a51eb037dca946c5115e1cad4874a9c4b41b178958

Observation 5359389b-66d0-4a7c-a03b-735dd5682070 · outbound

This paper cites V oter model on networks partitioned into two cliques of arbitrary sizes,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice V oter model on networks partitioned into two cliques of arbitrary sizes,

Reference 44

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source=pdf_text observed=2026-08-06T11:35:20.114479Z digest=sha256:f21cd49109ed9d4d52c98215a4cdf9fa844558a8c68eedb6c8f5d9c8afc5b19a

Observation 17b031db-f3db-4dc9-99c6-4f486207e4d3 · outbound

This paper cites Evolving linear threshold models for influence maximization,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Evolving linear threshold models for influence maximization,

Reference 45

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source=pdf_text observed=2026-08-06T11:35:20.117718Z digest=sha256:993675ae84e404324878ad90eda979add82b79ef75f932b9533b5693f6a44e00

Observation c816e79c-3eb9-4ea1-b80c-a22e82ee039d · outbound

This paper cites Dif- fusion maximization in evolving social networks,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Dif- fusion maximization in evolving social networks,

Reference 46

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source=pdf_text observed=2026-08-06T11:35:20.121543Z digest=sha256:46668c9c1966b1ad8cc87bb45e03655dff3e334e1366a493f04eec692b69ce68

Observation 48509083-e2bd-4752-91de-bf905e00b4ae · outbound

This paper cites Talk of the network: A complex systems look at the underlying process of word-of-mouth,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Talk of the network: A complex systems look at the underlying process of word-of-mouth,

Reference 47

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source=pdf_text observed=2026-08-06T11:35:20.125027Z digest=sha256:b2ee906b1d1306caffaa93bf4576a8083727546e870ee3cd82d981b6eee6812f

Observation 19d77a84-53c6-40c8-9594-347a2bb10e77 · outbound

This paper cites Using complex systems analysis to advance marketing theory development: Modeling heterogeneity effects on new product growth through stochastic cellu- lar automata,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Using complex systems analysis to advance marketing theory development: Modeling heterogeneity effects on new product growth through stochastic cellu- lar automata,

Reference 48

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source=pdf_text observed=2026-08-06T11:35:20.129189Z digest=sha256:b1e3fc766ae245eaa89ec5b7da8e50eb9c8e03ae3498b60daf089db64a63bb57

Observation 7fe9b4fa-2017-4536-b510-7c6efe28d280 · outbound

This paper cites Threshold models of collective behav- ior,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Threshold models of collective behav- ior,

Reference 49

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source=pdf_text observed=2026-08-06T11:35:20.133199Z digest=sha256:19da91f320368726f830cb8a4197ab273429713b1165a1a0838d2a800f31ecf9

Observation e70c3b9e-abe4-4050-979b-48657f6daa0d · outbound

This paper cites Propagation of trust and distrust,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Propagation of trust and distrust,

Reference 50

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source=pdf_text observed=2026-08-06T11:35:20.136495Z digest=sha256:82989ab0fae5c10c2f01314ec7937a8690900624ddd5bb4279fcec3dc06a1fad

Observation 20989c01-1b13-4add-a748-123496bd3009 · outbound

This paper cites Information diffusion in online social networks: A survey,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Information diffusion in online social networks: A survey,

Reference 51

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source=pdf_text observed=2026-08-06T11:35:20.146889Z digest=sha256:46b3a7753d62b0177c2e91de49b496e4d9df425fbcb17e16bc4d5b4e9b588e1c

Observation 0dc002e1-a558-4f6b-805c-595ad0283634 · outbound

This paper cites Analysis of sentiment communities in online networks,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Analysis of sentiment communities in online networks,

Reference 52

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source=pdf_text observed=2026-08-06T11:35:20.150992Z digest=sha256:de7337a9bf6f434a67c50ac7cb09675ee5ba31c52371ff49d95efb9282ebef3e

Observation 0435618d-3e7d-48f6-9d1f-523a4c98f78e · outbound

This paper cites Influence maximization by probing partial communi- ties in dynamic online social networks,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Influence maximization by probing partial communi- ties in dynamic online social networks,

Reference 53

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source=pdf_text observed=2026-08-06T11:35:20.154887Z digest=sha256:156921ed15e30e4709183934dc4fabb7f46bd16a09ed045064af691835ce7a22

Observation e5a7133a-7f59-4b58-a648-50ce0ee40294 · outbound

This paper cites Time-aware competitive cascade model for influence maximization,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Time-aware competitive cascade model for influence maximization,

Reference 54

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source=pdf_text observed=2026-08-06T11:35:20.158276Z digest=sha256:ae024b01a66a931eb005f8ab50daf7d5e476bc9c9b4f01907a00d1b09403e498

Observation 791ed3eb-f350-4a08-84d2-210a775442c1 · outbound

This paper cites Influence strength aware diffusion models for dynamic influence maximization in social networks,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Influence strength aware diffusion models for dynamic influence maximization in social networks,

Reference 55

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source=pdf_text observed=2026-08-06T11:35:20.161711Z digest=sha256:295b8c4dc22e70dc682527d801ef2525ca26076d12b204ab4f0eaea2beb4b1d7

Observation 5c090e65-5f44-4a40-b308-772a4d80b14a · outbound

This paper cites Influence blocking maximization in social networks under the competitive linear threshold model,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Influence blocking maximization in social networks under the competitive linear threshold model,

Reference 56

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source=pdf_text observed=2026-08-06T11:35:20.165402Z digest=sha256:c19f078e54c9965d2fcc321f4daae93293d044d4ad8c9536cffe37e94f8ea8a1

Observation f24e9af5-baae-41cb-b661-daf269ef07fb · outbound

This paper cites Influence blocking maximization in social networks under the competitive linear threshold model,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Influence blocking maximization in social networks under the competitive linear threshold model,

Reference 57

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source=pdf_text observed=2026-08-06T11:35:20.169591Z digest=sha256:adfffed24830fb656f847fe560e9f214f2b16227409b5ed41ad7130bfd780bab

Observation b5795726-9176-43b5-b302-ef6f83922ebd · outbound

This paper cites Cost- efficient strategies for restraining rumor spreading in mobile social networks,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Cost- efficient strategies for restraining rumor spreading in mobile social networks,

Reference 58

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source=pdf_text observed=2026-08-06T11:35:20.175496Z digest=sha256:a4c18ec72d9a0c5517edff057341a1f980d6312861295f7808cd51e313f58ee1

Observation e7d80e75-7ba0-4e60-bb1e-b739d4ce6a26 · outbound

This paper cites Ergodic theorems for weakly interacting infinite systems and the voter model,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Ergodic theorems for weakly interacting infinite systems and the voter model,

Reference 59

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source=pdf_text observed=2026-08-06T11:35:20.179442Z digest=sha256:538a952a9f8f7ecf17b8fd7358a1f4709bb521d5148ec3e2032452dae72fe651

Observation 3d958fba-cd94-4da4-a460-e38004b0d568 · outbound

This paper cites Modern temporal network theory: A collo- quium,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Modern temporal network theory: A collo- quium,

Reference 60

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source=pdf_text observed=2026-08-06T11:35:20.183317Z digest=sha256:dc651ea4dd12024c0620fc71d1f8901d8823a347a607357dfcd48b66fddf90d9

Observation 6962f451-dddb-44ad-9e4b-c0bcd7087b9a · outbound

This paper cites Temporal networks,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Temporal networks,

Reference 61

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source=pdf_text observed=2026-08-06T11:35:20.186695Z digest=sha256:f2dd0399eed9dbd000502bb33eb38c7f1948789dfac3c72b0d3a22c2a229e30f

Observation b18bf1f2-798a-4146-bfe2-1898a5edebc4 · outbound

This paper cites Maximizing the spread of pos- itive influence in signed social networks,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Maximizing the spread of pos- itive influence in signed social networks,

Reference 62

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source=pdf_text observed=2026-08-06T11:35:20.190172Z digest=sha256:edff7814ca7f47f03c680830f50e900f4befd85b9312841f69da39f5b7f1acdb

Observation 9a36f6c3-094b-41a6-9992-6dda8f95a7fa · outbound

This paper cites Trust- and reputation- based opinion dynamics modelling over temporal networks,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Trust- and reputation- based opinion dynamics modelling over temporal networks,

Reference 63

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source=pdf_text observed=2026-08-06T11:35:20.202413Z digest=sha256:c93668efa8b1ac0444b011061bb6628b098c047896f5d3bd0719e9831b91aa9e

Observation dad8a1c8-e6a5-4c42-9cbd-7e05889c0579 · outbound

This paper cites Identifying propagation sources in networks: State-of- the-art and comparative studies,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Identifying propagation sources in networks: State-of- the-art and comparative studies,

Reference 64

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source=pdf_text observed=2026-08-06T11:35:20.206168Z digest=sha256:95115d03db6234c1f9e0231eb5680db373801a9cb33ecd123762eb384e611e72

Observation 1f958b46-d833-4e0a-8d1a-b05681d9bda6 · outbound

This paper cites Irie: Scalable and robust influence maximization in social networks,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Irie: Scalable and robust influence maximization in social networks,

Reference 65

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source=pdf_text observed=2026-08-06T11:35:20.209723Z digest=sha256:f4e4a5b935fb3ccb21cd4719c1d143c5635d9f3c1c96d2efa8007a6b82b5d3e0

Observation 1aecb5c0-9979-4c0a-8208-78a3f39c885e · outbound

This paper cites Influential nodes in a diffusion model for social networks,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Influential nodes in a diffusion model for social networks,

Reference 66

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source=pdf_text observed=2026-08-06T11:35:20.213314Z digest=sha256:c4361615f93fedb71d3ca2f02ae7af0d00270f33abe064dec4a8064679c5defe

Observation 5721ff7d-ee22-4344-bf79-b35b2b8ed432 · outbound

This paper cites Maximizing the spread of influence through a social network,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Maximizing the spread of influence through a social network,

Reference 67

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source=pdf_text observed=2026-08-06T11:35:20.216770Z digest=sha256:be287a807d8fa29ab3cae18f74d24dc5d3552308303dd540bd049badb5731f25

Observation d8a83b7b-2cbc-413b-bc9b-e26cd6b61a26 · outbound

This paper cites Ct-ic: A continuous-time indepen- dent cascade model for information diffusion,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Ct-ic: A continuous-time indepen- dent cascade model for information diffusion,

Reference 68

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source=pdf_text observed=2026-08-06T11:35:20.220161Z digest=sha256:2aeb8d016e79f934aff171cf6bfe278f92a56842c202025a0764b5ab46a0305c

Observation ffe87528-3203-4092-9dd4-3ac41b020a7f · outbound

This paper cites Ct-ic: Continuously ac- tivated and time-restricted independent cascade model for viral marketing,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Ct-ic: Continuously ac- tivated and time-restricted independent cascade model for viral marketing,

Reference 69

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source=pdf_text observed=2026-08-06T11:35:20.223818Z digest=sha256:423c7331edf3090d3bc99221ff97dc26c981c42e1df1334c5a1987e5ce574166

Observation 75d9483f-f5fd-45af-99c5-624a30cc5840 · outbound

This paper cites Druc: A dynamic reinforced user-centric model for influence maximization,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Druc: A dynamic reinforced user-centric model for influence maximization,

Reference 70

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source=pdf_text observed=2026-08-06T11:35:20.227693Z digest=sha256:721f09bcd00bcc4b9a7f1841ff69fb8ff4e7837705029fda5926938b4c2708e5

Observation 3cfdb3dd-b1ac-46e0-b417-f164b7a0deef · outbound

This paper cites Predicting information diffusion in social networks using content and users profiles,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Predicting information diffusion in social networks using content and users profiles,

Reference 71

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source=pdf_text observed=2026-08-06T11:35:20.231194Z digest=sha256:51f525f861d2ea34ddee9faebaf0c1539f3e86f4403398c8fed6aaa89425eb07

Observation d6884701-3a52-4a46-8285-7b335a12b792 · outbound

This paper cites Statistical proper- ties of sampled networks,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Statistical proper- ties of sampled networks,

Reference 72

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source=pdf_text observed=2026-08-06T11:35:20.234959Z digest=sha256:890fb5e15ed98156e568de83f6ce15322152a908d0348669346ec600fd9431ca

Observation de5f0cc6-f790-4af4-b00b-935ad3da3d81 · outbound

This paper cites Cost-effective outbreak detection in networks,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Cost-effective outbreak detection in networks,

Reference 73

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source=pdf_text observed=2026-08-06T11:35:20.239154Z digest=sha256:069e932ea9c8a8785add4c14e657785681c23334b5ec8fdf03390b45be5b5830

Observation 0104075a-5730-4732-ab1a-bf497dbf82da · outbound

This paper cites Capturing dynamics of information diffusion in sns: A survey of methodology and techniques,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Capturing dynamics of information diffusion in sns: A survey of methodology and techniques,

Reference 74

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source=pdf_text observed=2026-08-06T11:35:20.243209Z digest=sha256:678cae313ba9a570d9916ae0c3c9295e27159b4f9265727dcc577f557faf486e

Observation cd56e41c-e8b7-4f9b-9dd4-ef2b871ef178 · outbound

This paper cites A survey on information diffusion in online social networks: Models and methods,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice A survey on information diffusion in online social networks: Models and methods,

Reference 75

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source=pdf_text observed=2026-08-06T11:35:20.246688Z digest=sha256:985973b04c245a85459b290f9f535983dddb03ba0ec9ee23947bc74c9deb74d2

Observation 007874d3-4385-4221-8285-2a6ffa88f0f5 · outbound

This paper cites A deep learning approach to link prediction in dy- namic networks,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice A deep learning approach to link prediction in dy- namic networks,

Reference 76

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:35:20.250150Z digest=sha256:1cbe8cf5d63843107e9957602cf3e70dac8960d644e6bf8b6a13f070b52d5cf1

Observation 346b25e5-43ef-40f1-a63b-d09c06243ce1 · outbound

This paper cites Influence diffusion dynamics and influence maximization in social networks with friend and foe relationships,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Influence diffusion dynamics and influence maximization in social networks with friend and foe relationships,

Reference 77

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unresolved
no resolver link, observed 2026-08-06T11:35:20.253595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:35:20.253595Z digest=sha256:05ad44f99be433be244f844d523f8f1822d560307fbaa85b6156d5620d134a77

Observation b3dd1d6c-a900-411a-8a65-5efa6d13c2bd · outbound

This paper cites Influence maximization on social graphs: A survey,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Influence maximization on social graphs: A survey,

Reference 78

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unresolved
no resolver link, observed 2026-08-06T11:35:20.257160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:35:20.257160Z digest=sha256:5e387f22d90536ab63cc6b7e7be83835f1a994c74439f0e7fcfb3414575bb193

Observation 7a076564-b905-4fb9-be2f-b76bb2798742 · outbound

This paper cites Targeted influence maximization in competitive social networks,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Targeted influence maximization in competitive social networks,

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-06T11:35:20.260349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:35:20.260349Z digest=sha256:b2b869e32b0de2a9e7724e7ba735b716379f928e03b7aa54b13724bf02336d13

Observation 91147106-f10c-4baa-aaef-4e69217c7e7b · outbound

This paper cites an unresolved cited work.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Unresolved cited work

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-06T11:35:20.263603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:35:20.263603Z digest=sha256:3ccfb42a6710a8364494b73cef1ca69f8a08b622d984f1ad19981c2314b4c6a4

Observation 89a723f2-c73f-4021-a8e5-fc676caa13fe · outbound

This paper cites Real-time and cost-effective limitation of misinforma- tion propagation,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Real-time and cost-effective limitation of misinforma- tion propagation,

Reference 81

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unresolved
no resolver link, observed 2026-08-06T11:35:20.267341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:35:20.267341Z digest=sha256:ff07b2607f9aaa11d77cbe7ae3400b17b04e1ab0c67ba76784b336f3987d68b2

Observation c5809db8-bfb9-49bc-8948-63f2fa35c835 · outbound

This paper cites Information spreading on dy- namic social networks,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Information spreading on dy- namic social networks,

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:35:21.961980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T11:35:20.271639Z digest=sha256:2f622016db69662c92946e02e9e5d5c67d9d983265afebdacb45434993313090

Observation bef39d94-2620-4be9-b5ae-804f174668a4 · outbound

This paper cites Temporal network motifs: Models, limitations, evaluation,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Temporal network motifs: Models, limitations, evaluation,

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:35:21.946101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T11:35:20.276469Z digest=sha256:f8c09b90f9c9ac713f6fea724bd341407c116fefdd755ba4bbfb28260b806580

Observation e695139f-ba46-49a2-ae49-4d7b7e6f385b · outbound

This paper cites An algorithm for influence maximization in competitive social net- works with unwanted users,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice An algorithm for influence maximization in competitive social net- works with unwanted users,

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:35:21.932053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T11:35:20.280694Z digest=sha256:2798cefb7948cd1763c35ff2e3df7f070cf93c8437d36db51c384bec89fe5bd4

Observation 52fc31ca-683a-48f7-b992-a98cb938ecc3 · outbound

This paper cites Compar- ing community-based information adoption and diffu- sion across different microblogging sites,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Compar- ing community-based information adoption and diffu- sion across different microblogging sites,

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:35:21.918890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T11:35:20.284318Z digest=sha256:bf911f37b428abae4a189f6d22ec7d03abd616ec20cf735de814e743749efd79

Observation 451ff217-fc35-4f49-ac17-b6a59a166ef5 · outbound

This paper cites An sir model with rewiring dy- namics for information diffusion in social networks,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice An sir model with rewiring dy- namics for information diffusion in social networks,

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:35:21.904501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T11:35:20.287859Z digest=sha256:3fad770ae3ee04a86f1c7ffcd04621ca04ab70267aa905810e40b8253cfb2e59

Observation ceea4406-33af-4756-adbb-27de90aae7c4 · outbound

This paper cites Social influence analysis for micro-blog user based on user behavior,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Social influence analysis for micro-blog user based on user behavior,

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:35:21.888132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T11:35:20.292609Z digest=sha256:1e7c0691dc6408301eb787c5a2d60a16e055f9d6acad62f9cd4ebfab441128c5

Observation 2f4325d4-b1af-45c5-af34-a091443143fa · outbound

This paper cites Seed selection for spread of influence in social networks: Temporal vs. static approach,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Seed selection for spread of influence in social networks: Temporal vs. static approach,

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:35:21.875042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T11:35:20.296621Z digest=sha256:659a1acc905169454148c7d58a661b36128b9afaeeb992ea7f25cba783294164

Observation 03dcfa38-e33e-448e-8250-a67ea21736ab · outbound

This paper cites Entropy- based measure for influence maximization in temporal networks,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Entropy- based measure for influence maximization in temporal networks,

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:35:21.860384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T11:35:20.300993Z digest=sha256:c73af8dc4c76c4900ceee291fd85fb14f73b3f5739ba197a737ccde043843fa6

Observation 382ea25e-1b86-4d79-a831-e43aa11faa1c · outbound

This paper cites Topic based time-sensitive influence maximization in online social networks,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Topic based time-sensitive influence maximization in online social networks,

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:35:21.846855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T11:35:20.305457Z digest=sha256:c7b48a1c1feab89895591c26b2a4d5107ef96340e51a85908cc3b60083952d6d

Observation ff5cf130-dafd-4273-ac43-475ccd92640d · outbound

This paper cites Fuzzy sign-aware diffusion models for influence maximization in signed social networks,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Fuzzy sign-aware diffusion models for influence maximization in signed social networks,

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:35:21.830654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T11:35:20.310639Z digest=sha256:57f5dfdb3ec39d5b44fd111282ed74513a7dd87f9c8d5932a3324171e917c8c2

Observation 58eb364b-a6bc-419c-aedd-bf952ecaa1e0 · outbound

This paper cites Dynamic degree discount and ris algorithms for temporal influence maximization,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Dynamic degree discount and ris algorithms for temporal influence maximization,

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:35:21.814465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T11:35:20.314619Z digest=sha256:5edd3b3c03252f5db89cf114f9244016b6b8af549dd0d5161571037cebbceabe

Observation 5bd99711-c9df-4bdb-98e7-babbe1a40064 · outbound

This paper cites Extended methods for in- fluence maximization in dynamic networks,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Extended methods for in- fluence maximization in dynamic networks,

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:35:21.801342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T11:35:20.318319Z digest=sha256:8e56187e2f9eb2a25756d009bfd7ee13302a396c1a66a0daaa222d3789b42b6e

Observation adb853c0-3ac6-496d-9465-88dac161f4fb · outbound

This paper cites Informa- tion diffusion and external influence in networks,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Informa- tion diffusion and external influence in networks,

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:35:21.788002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T11:35:20.324085Z digest=sha256:a6ac9a687999fdf58c53f8033e8063c1c9b63fc83e0a9f39d352d753d79e1e65

Observation 51de4376-87e3-4d4a-a8f8-84dd2e101bb2 · outbound

This paper cites Influence max- imization in multiple online social networks,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Influence max- imization in multiple online social networks,

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:35:21.775830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T11:35:20.327721Z digest=sha256:7d6a3f45b802f718674eedd5f9c0ae50b68f9811e881a46780abd525c6aa5c9a

Observation f64d84cb-fce5-4e4a-937a-9c7bcda45127 · outbound

This paper cites Dynamic influence analysis in evolving networks,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Dynamic influence analysis in evolving networks,

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:35:21.763851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T11:35:20.331246Z digest=sha256:971976dc13032d28b44e72d2e4f603e16178f4a01b72559daf255bb73d1ff514

Observation db6188e2-7ba1-45ec-96eb-ea072e61deb8 · outbound

This paper cites Selecting seed nodes for influence maximization in dynamic networks,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Selecting seed nodes for influence maximization in dynamic networks,

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:35:21.749853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T11:35:20.335748Z digest=sha256:cb8952898fe43c01b42c5baefe5001897341021c3de35b197ae79d65c9cf9948

Observation 06c11dd5-6164-47e8-9b43-ddc18b506338 · outbound

This paper cites Using wearable proximity sensors to characterize social contact patterns in a village of rural Malawi.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Using wearable proximity sensors to characterize social contact patterns in a village of rural Malawi

Reference 98

Resolution
verified exact
local_arxiv, observed 2026-08-06T11:35:20.902424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T11:35:20.340381Z digest=sha256:21aebe608982e94f01aea95774a5cc7272a30c7a88d35b883cef2cdbc152205d

Observation 66207670-6427-4576-9d35-bcdd9c0dac1a · outbound

This paper cites Motifs in temporal networks,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Motifs in temporal networks,

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:35:21.737325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T11:35:20.344702Z digest=sha256:ef7a81adaa25e5475ae2cd67b6c6be8eece4a98ef31001211fbddfe269dc87b8

Observation b4f316bd-f315-4ffa-b14b-d7f36592df28 · outbound

This paper cites Epidemic processes in complex net- works,.

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Epidemic processes in complex net- works,

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:35:21.721765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T11:35:20.358172Z digest=sha256:1fa77d520b973e05542b5f37a783b57e1b098729231b9714baf4781664a449dd

Pith citing papers

No inbound Pith citation observations are available.