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Paper Citation Record · LEDGER

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors

As of 11 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 1 inbound Pith citation observation for arXiv:2412.20936.

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

pith.paper-citation-record.v1
2412.20936 v2

Coverage vector

measured 66 of 66 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:11:43.244204Z

measured 67 of 67 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:35:20.570010Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T11:35:20.829307Z

Reference resolution

66 of 66 outbound references displayed

  • verified exact0
  • verified fuzzy62
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bbc7f4a7-b030-4a8e-b4f1-94421fb2d59f · outbound

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

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors Maximizing the spread of influence through a social network,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:11:44.253563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:11:42.903861Z digest=sha256:b89da2d4bb1f061d816bcc2e50be8e53c7e95405fc7ac42cde3fa960f47fd377

Observation 7af196a1-2fbb-47c2-b3d3-5f5ded69d790 · outbound

This paper cites The dynamics of viral marketing,.

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors The dynamics of viral marketing,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:11:44.238217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:11:42.909963Z digest=sha256:2fe7301994a47aea5e254680abbb8a4b39cd73e8accee501e7c1b1e64ade96b6

Observation 412c8f05-6a97-4a1a-b648-e79023f98984 · outbound

This paper cites Adaptive influence maximization in dynamic social networks,.

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors Adaptive influence maximization in dynamic social networks,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:11:44.223787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:11:42.915383Z digest=sha256:c6499e54381dca7e4724861a970a53d4a0754bfb7b3d0bd6cc3f751e6a22f23e

Observation 4296c18d-98b4-462d-ab19-b078b542fd8e · outbound

This paper cites Scalable influence maximization for prevalent viral marketing in large- scale social networks,.

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors Scalable influence maximization for prevalent viral marketing in large- scale social networks,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:11:44.208127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:11:42.920565Z digest=sha256:091d873a582fbbfe8ab7575fe54d5a0783903e035559e6f0ebba10fd30a18f15

Observation 05b86c6e-316d-4b6b-a758-ad173c19a61d · outbound

This paper cites Tbcelf: Temporal budget-aware influence maximization,.

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors Tbcelf: Temporal budget-aware influence maximization,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:11:44.193667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:11:42.926253Z digest=sha256:471ef85bd93212eef7d7484a5f04c7b49ebf8a0b2db565937829b7f772841c6e

Observation a301aa27-83e6-4704-ae21-efded88dd73a · outbound

This paper cites Influential node tracking on dynamic social network: An interchange greedy approach,.

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors Influential node tracking on dynamic social network: An interchange greedy approach,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:11:44.180861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:11:42.931540Z digest=sha256:b29a9eef91ace4948dadbd32fbb87195b72b1f53d1900b1b90b0e32ad58450e6

Observation 99e4c3cc-fefe-4254-833e-4dc072252799 · outbound

This paper cites Combinatorial multi-armed bandit: General framework, results and applications,.

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors Combinatorial multi-armed bandit: General framework, results and applications,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:11:44.165671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:11:42.937330Z digest=sha256:66bfecadc0d659dd182c8ff844a3cf1fac02527082d9825ecc40640570f84050

Observation 39bcf64f-b71d-4eb7-bce0-75f1dc14f23c · outbound

This paper cites Model- independent online learning for influence maximization,.

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors Model- independent online learning for influence maximization,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:11:44.149773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:11:42.942330Z digest=sha256:439dbba2d6d0cc866934dff0832c51db7fb09ad57d430a721ea89aa9b0567698

Observation 2c2cc9fe-855e-4b34-80c9-18f3ddcc0a5d · outbound

This paper cites Online influence maximization under independent cascade model with semi-bandit feedback,.

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors Online influence maximization under independent cascade model with semi-bandit feedback,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:11:44.133511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:11:42.947331Z digest=sha256:6f018295a98f8d097ee34056de0e80b0a85f67f486b27839b2a6b99ffbe68141

Observation dbba8a20-18ca-4da0-beb8-a5cc79c7d96c · outbound

This paper cites Online competitive influence maximization,.

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors Online competitive influence maximization,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:11:44.117787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:11:42.952387Z digest=sha256:2a3e18bd2225881a6623870e8848c16c961921f8e41af30b487e0ed6df06e1d2

Observation 391dc7cf-577c-45ac-941c-b04816caba19 · outbound

This paper cites New trends in influence maximization models,.

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors New trends in influence maximization models,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:11:44.102532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:11:42.957357Z digest=sha256:cd24e37f7a8dc122494d5deaf5a8081ceebe40c41e786707c377e775e2cf2a1e

Observation c634212e-917b-468a-98d9-c44d162c7740 · outbound

This paper cites Social influence maximization under empirical influence models,.

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors Social influence maximization under empirical influence models,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:11:44.088210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:11:42.962411Z digest=sha256:a67c08e94812f804cf5830c2b3531af949e754fdcaf62ebb1b9d174ea4824a24

Observation 444d08eb-ec23-490e-a7f0-1a7e8ac16d73 · outbound

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

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors Influence maximization on social graphs: A survey,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:11:44.074876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:11:42.968181Z digest=sha256:f3bd72764c6ce5fdf01d98b1dd212e1688cb081de059b4b8f17a21d96eb74e43

Observation 8c29209b-b71d-493f-9a24-d4eafe2e5d36 · outbound

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

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors Cost-effective outbreak detection in networks,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:11:44.061263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:11:42.973386Z digest=sha256:ebfee8b20521dca71ef6134ba3ae8acb80c3aa0f4d8c18174ccb41cf69449079

Observation e6f03272-6746-4eb7-bfa0-21d259319be8 · outbound

This paper cites Community-based greedy algorithm for mining top-k influential nodes in mobile social networks,.

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors Community-based greedy algorithm for mining top-k influential nodes in mobile social networks,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:11:44.046766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:11:42.978620Z digest=sha256:f6c3c46ffed442d3a6aa401f730ce75318f56efeb4d1d81242781464ea260af1

Observation 7e848943-8a4a-4cb7-88d5-4e4bd0ef06ca · outbound

This paper cites The pagerank citation ranking: Bringing order to the web,.

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors The pagerank citation ranking: Bringing order to the web,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:11:44.032871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:11:42.984403Z digest=sha256:bc447c0a7a6b87e1fa307a4fe939eb5f16476bdf56ba0ae091de5194ec9fa71e

Observation aa313c94-9eae-4595-a092-91d3f40ec34e · outbound

This paper cites Centrality in social networks conceptual clarification,.

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors Centrality in social networks conceptual clarification,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:11:44.018439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:11:42.989150Z digest=sha256:48b1d976366fdfdfab1aa6e3aafd2d0ebaa02cfd9cbbcd720dc283e2ddabc1f6

Observation 75f66e31-7653-4ff9-a975-e8eb53b453ac · outbound

This paper cites Influence maximization in complex networks through optimal percolation,.

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors Influence maximization in complex networks through optimal percolation,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:11:44.004183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:11:42.994233Z digest=sha256:7ba7586b084c09b011c5cd281ac602ca43278e346ca29fec190e58b01885bdc2

Observation a722ca33-ec9d-4617-99e3-1937f4520646 · outbound

This paper cites Efficient influence maximization in social networks,.

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors Efficient influence maximization in social networks,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:11:43.991165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:11:42.999367Z digest=sha256:1c7fc01fe8213f1aa347d0055cd393d62e0b677a62b759b79144b3512c0d2f78

Observation 7972e288-ac19-4ef9-9ea6-02deab62263d · outbound

This paper cites Influence maximization over large-scale social networks: A bounded linear approach,.

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors Influence maximization over large-scale social networks: A bounded linear approach,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:11:43.977322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:11:43.004502Z digest=sha256:20e96b24efe4d7cabc1446d76a3eed61acce14632b8c9a2f3f995a9abb52f9ee

Observation 79f18989-9a13-4838-a638-b8bdbcbe819c · outbound

This paper cites Tractable models for information diffusion in social networks,.

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors Tractable models for information diffusion in social networks,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:11:43.962726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:11:43.009822Z digest=sha256:9c83b2c4e0ee1fad2f094818c5551e30d5fcd1e68b6faf79852e8d70497ba9cd

Observation 08b49f0d-8c75-4dfa-8351-a4a5a0291c82 · outbound

This paper cites Scalable influence maximization for prevalent viral marketing in large- scale social networks,.

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors Scalable influence maximization for prevalent viral marketing in large- scale social networks,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:11:43.946953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:11:43.014993Z digest=sha256:ab1a0bf4791fc8f8519cdb0102993ba75a65bf0243842603bf6cea3090616d27

Observation a780d9ea-2901-43c8-b6db-257ab29b95f1 · outbound

This paper cites Simpath: An efficient algorithm for influence maximization under the linear threshold model,.

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors Simpath: An efficient algorithm for influence maximization under the linear threshold model,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:11:43.931828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:11:43.020375Z digest=sha256:0e51dfa50f4bf633a2be3c6b229cbd404d1c8d46535d804815408ea71995ba8e

Observation 5562a1db-82b7-448e-9cf0-aa80f65ef1d3 · outbound

This paper cites A neighbour scale fixed approach for influence maximization in social networks,.

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors A neighbour scale fixed approach for influence maximization in social networks,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:11:43.917172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:11:43.025564Z digest=sha256:6884a90e5ee1b9b58c0b907df1f66488bf9a12674812ed0ca5e9de72687db689

Observation f475675e-cb4e-41b5-ae33-26ba9807c280 · outbound

This paper cites Staticgreedy: Solving the scalability-accuracy dilemma in influence maximization,.

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors Staticgreedy: Solving the scalability-accuracy dilemma in influence maximization,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:11:43.901903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:11:43.030399Z digest=sha256:d01922558aa5fd761733e523cb38acc6a2a84fa04584f6ad4feba8193933e28c

Observation a12d5ec2-bbaf-4717-9ac8-c65b3fa5751c · outbound

This paper cites Maximizing social influence in nearly optimal time,.

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors Maximizing social influence in nearly optimal time,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:11:43.886280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:11:43.035408Z digest=sha256:fb1c34ec06ea30238def1724967dd164b53743641f775253319fc70751d52968

Observation f38c034e-2430-4d6d-884a-e20b0177a07a · outbound

This paper cites Influence maximization: Near-optimal time complexity meets practical efficiency,.

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors Influence maximization: Near-optimal time complexity meets practical efficiency,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:11:43.872061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:11:43.040700Z digest=sha256:95155d16501fb876a3f0d5cf8548fd5c400a649f187c753619f19b1d320aa482

Observation 104994d3-f926-45fd-84cd-f78f0d21ca08 · outbound

This paper cites Stop-and-stare: Optimal sampling algorithms for viral mar- keting in billion-scale networks,.

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors Stop-and-stare: Optimal sampling algorithms for viral mar- keting in billion-scale networks,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:11:43.857985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:11:43.045925Z digest=sha256:236e16a245d2df05d290d9c524d5aaae00eed5d1edfc8fb8d58536d5c5509a26

Observation c78b7eaf-28d8-4244-814b-f9470b7409f0 · outbound

This paper cites Celf++: Optimizing the greedy algorithm for influence maximization in social networks,.

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors Celf++: Optimizing the greedy algorithm for influence maximization in social networks,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:11:43.844604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:11:43.051599Z digest=sha256:e61bee61de6e5c6cc807bb741820427cd7e2f98e27c1e266a3769ed85c6114e0

Observation 57aa27ec-f628-49c5-80a8-ad1b1795dfe3 · outbound

This paper cites Threshold models of collective behavior,.

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors Threshold models of collective behavior,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:11:43.830797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:11:43.056889Z digest=sha256:2c4948fb520a1ea9b0575b2707396c196ca9b42ba0786c45b675e1803a4ccaa4

Observation 8ec3ad99-d379-498d-a746-d1978d0d23ab · outbound

This paper cites Seir-based model for the information spreading over sns,.

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors Seir-based model for the information spreading over sns,

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-10T23:11:43.062125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:11:43.062125Z digest=sha256:183a59ba5685a3aff0eb53dcdfe0eb53445320a7c0e861d711c18ac3150d7ebb

Observation 6ade9e1d-590f-4f2f-be8b-b4c5974dd01a · outbound

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

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors Research on propagation model of public opinion topics based on scir in microblogging,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:11:43.805809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:11:43.067363Z digest=sha256:f63ba11b5c08aac8eeb780aad3a6adf8335be2ef6c70fb6f16b90f8675beb6a5

Observation 17be9af9-c4a1-41d5-9b95-ad431e07d938 · outbound

This paper cites Epidemiological modeling of online social network dynamics.

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors Epidemiological modeling of online social network dynamics

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-10T23:11:43.072637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:11:43.072637Z digest=sha256:a635ca6610cba725cd674905e811411a5655414957eea54d041cd307f7ffad2c

Observation e54e8dcf-232e-41c9-8a99-8e183557bbf3 · outbound

This paper cites Esis: Emotion-based spreader–ignorant–stifler model for information diffusion,.

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors Esis: Emotion-based spreader–ignorant–stifler model for information diffusion,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:11:43.790912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:11:43.078419Z digest=sha256:4394d52653dca30354ee159bddb8e7016774694b38c654e1bb9c0c653b637f5e

Observation 3a43985b-a82c-45fb-a89b-9ff58cf5a8e5 · outbound

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

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors Competing for attention in social media under information overload conditions,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:11:43.776099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:11:43.083646Z digest=sha256:50c95452210598c09b553e607b9eaa0aa35f02ae4797d8121bea0272509a87b8

Observation 091f7c17-52fd-450c-aee3-823508dca4c1 · outbound

This paper cites Finding spread blockers in dynamic networks,.

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors Finding spread blockers in dynamic networks,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:11:43.760573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:11:43.088619Z digest=sha256:ea02132b1a9513c5ab0e32c4eda1a8ffbd5a2691118d3b061d4a7f8745ecdb24

Observation f896e460-4038-4272-bf8b-e90926feed34 · outbound

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

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors Extended methods for influence maximization in dynamic networks,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:11:43.744833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:11:43.094095Z digest=sha256:8d4bdad0ff0c9690c1a11aecf8761182b7ffa7cf06c9895499c0ff90e9ac1035

Observation 1ff3e77f-560e-42ee-a096-9b5dced49da5 · outbound

This paper cites Adaptive influence maximization in dynamic social networks,.

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors Adaptive influence maximization in dynamic social networks,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:11:43.729796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:11:43.099272Z digest=sha256:18f1e4b565f2c539501a6cbf59b36f85da30d2ab06a91949948e0c2ed8a9966d

Observation 636d34e1-5f6f-4ddf-b396-ddec5747772c · outbound

This paper cites Finding temporal influential users over evolving social networks,.

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors Finding temporal influential users over evolving social networks,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:11:43.716489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:11:43.104105Z digest=sha256:8e64e68482af736447cc2d0e02356be38078c25129cff05eda61ac1646cbafa5

Observation be56c590-463f-4de1-b1f0-742ec5c13ab9 · outbound

This paper cites Influence maximization in dynamic social networks,.

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors Influence maximization in dynamic social networks,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:11:43.703014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:11:43.109097Z digest=sha256:a2c680c29b23c7aa2b1c1a5db362fe5f8f20811ff25fde433985909429c8536b

Observation 59ce9edc-5c46-46a6-afcd-c6227b741176 · outbound

This paper cites Influential node tracking on dynamic social network: an interchange greedy approach,.

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors Influential node tracking on dynamic social network: an interchange greedy approach,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:11:43.687060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:11:43.114265Z digest=sha256:fdc8690813c88697dc706b781fc063660202e95f6ac27f01661aff5b6c52eee2

Observation 79b4eb80-312b-4a55-b0b9-62ff18bbbacf · outbound

This paper cites UblF: an upper bound based approach to discover influential nodes in social networks,.

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors UblF: an upper bound based approach to discover influential nodes in social networks,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:11:43.670887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:11:43.119428Z digest=sha256:c542d122002c68db2cc7ead9aea23fb941f76936ef057dbe23e95c33754be25c

Observation a9d831ba-3882-469c-b137-93723265efe6 · outbound

This paper cites Influence maximization on temporal networks: a review,.

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors Influence maximization on temporal networks: a review,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:11:43.656048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:11:43.124426Z digest=sha256:8e4e6c3237bb9afba648f42d4bc5c6015edbe310d0b1b50f8f9919c073821944

Observation c79155be-8fba-4161-b43b-a099a9f8b065 · outbound

This paper cites Diffusion maximization in evolving social networks,.

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors Diffusion maximization in evolving social networks,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:11:43.641651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:11:43.129618Z digest=sha256:0ab4298a8b770dc2cf4446809bcb6b8f7f528569220f29437ecc72f8d7a84304

Observation b9c213ed-041d-4ccc-8da3-d6ef60ec3a25 · outbound

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

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors Ct-ic: Continuously activated and time-restricted independent cascade model for viral marketing,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:11:43.626278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:11:43.135381Z digest=sha256:82111b0d1e35dadd74808c0f912205485f60eb5887862c82a936d8d631b0c0f3

Observation 89ccb073-6fe7-45c6-8cf1-cfcb3c46d5b8 · outbound

This paper cites Maximizing the spread of influence ranking in social networks,.

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors Maximizing the spread of influence ranking in social networks,

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-10T23:11:43.140670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:11:43.140670Z digest=sha256:60590ae86a47ec391bb8d6ee74794f374a3d1fda0a06677d3b845bf12968c449

Observation 903a8c89-e5da-420b-93a3-afb231d8e026 · outbound

This paper cites Simplicial complex models for higher-order interaction analysis,.

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors Simplicial complex models for higher-order interaction analysis,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:11:43.601511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:11:43.145805Z digest=sha256:80e32810c8bb20edb386c674440c5a4a40eefb84b8d09b0932408102320e9348

Observation 709f883a-1e75-465e-8eb0-f3660a0cb946 · outbound

This paper cites Influence maximization in independent cascade networks based on activation probability computation,.

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors Influence maximization in independent cascade networks based on activation probability computation,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:11:43.587428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:11:43.150999Z digest=sha256:159238aedd0b601188b3542ed6395089b5b2574ff76cd75bd04aed628a7dc19d

Observation 0b1a1c1e-6935-4feb-b3c8-1f52ae7e1317 · outbound

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

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors Influence strength aware diffusion models for dynamic influence maximization in social networks,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:11:43.573580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:11:43.155941Z digest=sha256:2ceaed108403649e032d4c50e00282643620fd5085bbb8cef893bf23dd880667

Observation 9a5d9eab-30c5-40aa-bded-7ea71fdcfcfa · outbound

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

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors On influential node discovery in dynamic social networks,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:11:43.559790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:11:43.160721Z digest=sha256:362489d5e54c4095f96559bf226861b6829783cea0b0ea03f2d9548e22347577

Observation 593a9cfb-2a3f-4946-830f-c408005bea3a · outbound

This paper cites An influence maximization algorithm for dynamic social networks based on effective links,.

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors An influence maximization algorithm for dynamic social networks based on effective links,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:11:43.546124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:11:43.165823Z digest=sha256:517b8c8d771efefbb7eae4e4557607fc7f58c23ce9d7a5ad779263796de36405

Observation 92c14881-62bb-45ff-8f63-7b5ec4b930ec · outbound

This paper cites Temporal networks,.

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors Temporal networks,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:11:43.530463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:11:43.171285Z digest=sha256:463d27cea7793214518b0b8137c10f6c0738b454df80522db0084a235dd921a8

Observation 00f1672f-e2b9-4c17-85e1-11d5da12a76a · outbound

This paper cites Improved algorithms of celf and celf++ for influence maximization,.

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors Improved algorithms of celf and celf++ for influence maximization,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:11:43.512860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:11:43.176681Z digest=sha256:2df1cef7c6b8ef0688d92e1241cebde152d53108ebc43d9d8b55d87cce525a7d

Observation eefbb046-d0a3-4031-8cb6-e56e48ad7809 · outbound

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

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors Cost-effective outbreak detection in networks,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:11:43.496589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:11:43.181664Z digest=sha256:b6dd4cbc88f2770330ede18b1f9ea8b4d140c21cc6c06d54c8c3a74dd6bb8f9b

Observation 0a4299fa-0d53-409f-a03c-9cecbe7e7438 · outbound

This paper cites Mitigation of infectious disease at school: targeted class closure vs school closure,.

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors Mitigation of infectious disease at school: targeted class closure vs school closure,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:11:43.481317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:11:43.186640Z digest=sha256:c48ff5cfb858faf03871f0539fd5895319f49564123b3c2853960b33a9549bbb

Observation db74000b-1e98-479c-8287-517b7ced4fd7 · outbound

This paper cites High-resolution measurements of face-to-face contact patterns in a primary school,.

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors High-resolution measurements of face-to-face contact patterns in a primary school,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:11:43.465141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:11:43.191740Z digest=sha256:b026b2aa48dbbae5a2a01eeab4174407809e739e627a68c4240275c87c8f854e

Observation 9e7009d2-4cf6-4c0d-bff2-109d2fd09c11 · outbound

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

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors Using wearable proximity sensors to characterize social contact patterns in a village of rural malawi,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:11:43.449142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:11:43.196751Z digest=sha256:a9f44c5e53b84c021668ad0d73bcd77ed3c2d3f699c2b2f46a802723e1a244e9

Observation 38ffdce2-13d7-400b-bf32-16b8f1302f2a · outbound

This paper cites Patterns and dynamics of users’ behavior and interaction: Network analysis of an online community,.

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors Patterns and dynamics of users’ behavior and interaction: Network analysis of an online community,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:11:43.433431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:11:43.201980Z digest=sha256:97e77540b8536c54f68e422ca0238ccc6621ef4c7649b67635a44d28fbfe97c3

Observation 4ea7e277-c124-41d4-bacc-b84c0b222e39 · outbound

This paper cites Motifs in temporal networks,.

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors Motifs in temporal networks,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:11:43.416971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:11:43.206846Z digest=sha256:34ef93bc5f98aca415b1c1b45d2b4f8b2648a64bebf2818843a91c22f0dc1454

Observation d1f096ab-90e5-4552-a82a-77adad2c3dff · outbound

This paper cites Governance in social media: A case study of the wikipedia promotion process,.

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors Governance in social media: A case study of the wikipedia promotion process,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:11:43.401328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:11:43.211825Z digest=sha256:e313070d81cfd201b0d8392a2815ec1ecb063f78f85dbb9ac7879cdc7d3e2531

Observation 5fb68679-ef6f-48b7-b8c1-c7ca772c1873 · outbound

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

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors Extended methods for influence maximization in dynamic networks,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:11:43.384151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:11:43.217130Z digest=sha256:96f27332a214bc2880d5be5d0870f6a4fad1f02fd23ea1ce9c4a39928f6540a5

Observation a8acb66b-7b0d-4ad7-ae27-3193e1b26184 · outbound

This paper cites Maximizing social influence in nearly optimal time,.

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors Maximizing social influence in nearly optimal time,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:11:43.367055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:11:43.222311Z digest=sha256:fa20fc9b8ef42b3ed39102a3a5d115c977aaee784258ab1a6cc5f9f3574536c1

Observation 3ef70199-eaae-4f23-91e8-65171050594e · outbound

This paper cites Influence maximization: Near-optimal time complexity meets practical efficiency,.

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors Influence maximization: Near-optimal time complexity meets practical efficiency,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:11:43.349940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:11:43.229061Z digest=sha256:9d7ed9e07e4f679e9440f61b6c78fcba083a9c9b69f19857e4da6c08bee2052b

Observation 899ca70c-67ab-47e6-b8f9-ee4c0f045317 · outbound

This paper cites an unresolved cited work.

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors Unresolved cited work

Reference 64

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:11:43.333623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:11:43.234214Z digest=sha256:9bd1b33eea4fac642e911b7516dd11057d4f82bf522f1b40cc5dfb78f838ce88

Observation 28a55c47-8fe0-45a1-a947-0028e6510c46 · outbound

This paper cites Influence maximization on temporal networks,.

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors Influence maximization on temporal networks,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:11:43.316943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:11:43.239281Z digest=sha256:6162f50127d81a940dd3ea86627356589286ccf8d9df744c1f9b3b0945f76bc4

Observation a6cb7597-5d6e-4a4c-a237-213e6061295c · outbound

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

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors Entropy-based measure for influence maximization in temporal networks,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:11:43.300132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:11:43.244204Z digest=sha256:3d4fe752e200ed3f780f7ef4751a815ca3210db5df5f475d1d1c52b1ca6a2140

Pith citing papers

Observation 17103705-f8d7-48ff-8aa2-527cfd9db5c9 · inbound

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

Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors

Reference 144

Resolution
verified exact
local_arxiv, observed 2026-08-06T11:35:20.836175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T11:35:20.570010Z digest=sha256:3018c8c99b35199e21ef7e54b79bcd36cb8cf618dc5c6e3b9590a0f85e4f9f95