Pith. sign in

Paper Citation Record · LEDGER

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors

As of 17 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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:11:42.903861Z digest=sha256:e76cd44ad4190978cfa21eae5f8afe4c34c84a092aeea55a1029df2ca4cb3f02

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:11:42.909963Z digest=sha256:3b08e63ae2de1375443e700554cf0d0c69c4d7f540f0df5eb5577e5781ae8a9e

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:11:42.915383Z digest=sha256:4c57e9e8e505366df7587c776b5b491eacda76077000014b6c6372b10b1e7856

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:11:42.920565Z digest=sha256:bee140d3cc32c7833621efdc3b3553f131289a5eaad48574dd985dfa8c815a32

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:11:42.926253Z digest=sha256:575f290a889663749d7c4ff6ba8bfbf8dded5cf3b05bb3c295348063a6883eb3

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:11:42.931540Z digest=sha256:d26dae77699bd8e391835c49f4ca9c03a6ad79dc744e5683994d3a06196601d7

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:11:42.937330Z digest=sha256:5d9a7cdea147addc778d54e4b665b16b075ef0ce8e80607c283442a76bb61ec8

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:11:42.942330Z digest=sha256:4db0e6aafd8259efb90a5558b322fde45e103963006ff731c99263f45b6d32f3

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:11:42.947331Z digest=sha256:665fc1d5a09c051079b8919e47ae0f442099007c12539a5ee10c7f1f7bae6339

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:11:42.952387Z digest=sha256:a8113db090d6cfa1a628ce8396ccee77de30dee940de45f9b883d3dcf6f8d1b3

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:11:42.957357Z digest=sha256:8648e3202d36072dcaac61ee001a1b7476735c3886abe0f0f24bf43196100219

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:11:42.962411Z digest=sha256:4c85df8c6da52fa3fa3ddf3ac2ef7e30ef0778a3442d72ae9aba79a9b26cb710

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:11:42.968181Z digest=sha256:57230466b47f6d0b639fb30c0f026ad975ab83b9907003bd707ff607ff490174

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:11:42.973386Z digest=sha256:990a7b6644c670fe67353681858d098be9c192dcaa23623f4e6d3873bd437569

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:11:42.978620Z digest=sha256:1acb7135335f8c66aeb8f55e59174ed3080bd7135311b138ef877eab15cdfed1

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:11:42.984403Z digest=sha256:34a0aaa4ad280026fba77095da770101aca5f8e8d89d39917e76f4da9d5e5e75

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:11:42.989150Z digest=sha256:f75211c9adbcab0a6470b6be5985b0a5b8fe76873b3d5d5dbca33ad13de5844b

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:11:42.994233Z digest=sha256:23c0cb9424a62228c0e50f56721bf1f79a1c0b5a03080260746c71971edd8437

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:11:42.999367Z digest=sha256:1326f6996d33cfec2374303642f7041bb0bbea8760de68952f37628374bdf7c8

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:11:43.004502Z digest=sha256:89d680c7e5d935b63c9f3b732e51fb52fcdd7b2b6d320c5d411e614772bbd690

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:11:43.009822Z digest=sha256:8c7c86c5686bcb520bb7059f4efee2d86cff8d274e6d80a6da67288825e4591e

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:11:43.014993Z digest=sha256:569450ae55d6bee9507dbba40c7cce0ecb1c63e182c6e915d1d13fca8adec8ee

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:11:43.020375Z digest=sha256:f070b5908113fd23f4e2af675256a72074fef42f1a5163c4cb8e579252a9e038

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:11:43.025564Z digest=sha256:a0b42eb5a4ecc824e21b27ad4b693a4b4852950bbf065776e4253f8f0fdc4b60

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:11:43.030399Z digest=sha256:f65eea51eb4d23599a91603effea193d835bc5e024b3f8dd37d6d3c263e3fd2b

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:11:43.035408Z digest=sha256:2f3913f10596e5468ca6244eb491417e9fc5133e897929bdc6c88cbf2a3f97d5

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:11:43.040700Z digest=sha256:cd52585d0f841cf117247b1706b33c659ce1e0b2b9a0819733495d001c5bf83c

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:11:43.045925Z digest=sha256:89ccbf71372e135a84c3de64e2611c1a53b19157963a02f0fba660a76e3efc5a

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:11:43.051599Z digest=sha256:cfe4dc9b5a7f9bf21ce405c0d943ea1aa36abddbb5e0fd1c778b3a8158b0c8ae

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:11:43.056889Z digest=sha256:968e0eb249e53aaa419bd752e5c5d5386aacc4188db62e9ad6ef34a7de7938a7

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:fac21746a644b59142a8ca0aa905ce14d8f4e7a8fd154f04f7da328c3dbe6e1b

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:11:43.067363Z digest=sha256:34feaceb9163c3b23a9ce1b832e9d25cf30b233ffd552396a5936bcf1bed4e8c

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=sha256:6be17724bd94ea6a4518070cfaa3ae8db5279bcd7ad09daca9d544953f918055

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:11:43.078419Z digest=sha256:77b29b033377a6899a6fb5e5e84e7b9fa557d269ae4fb0f6db53f58495cd33a0

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:11:43.083646Z digest=sha256:5eab716eeb88f63c7c0f0fffdf525c2d09e5d0903b286713c4376f04a811dcd2

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:11:43.088619Z digest=sha256:ba7d6eeb0d62d8183e2bb1bdcaa016965a31881a48cebd2667a6ff24a037ad00

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:11:43.094095Z digest=sha256:cda90b0a57207242321e9e0359260334b9af447d740f3ff28f456634dfeb246d

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:11:43.099272Z digest=sha256:830c83f5d3fa3a523a2c8aaca0c5e4600a7c0c7504ba80fe912d53f8992263d2

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:11:43.104105Z digest=sha256:f2956f202eeff1d20f8a13d2164e93c0a1c666b7e0d7c191c91b9e27aea98c3a

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:11:43.109097Z digest=sha256:27e156e32f1dd075c2c7cfb09024cbaf4dbe997f9eacf175adf44b37bbf0c060

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:11:43.114265Z digest=sha256:0297bec5e844bd017d62dcf3062ddfdbe8b5ac0b03fb9df43b264616e2694114

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:11:43.119428Z digest=sha256:93e2e14e62ef1e825d8571fa2edd40d48c39a238bc9498eb15e104a80c7a2da1

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:11:43.124426Z digest=sha256:90623fc0de634e02b553d64adc5a4bb7fdd71e6f260df9e714de7e44a9ccdd5a

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:11:43.129618Z digest=sha256:a76409931c2ab33e0acad6a8a4dc3be5b8dee3e78b675b30f5972544325f3674

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:11:43.135381Z digest=sha256:13e7eec3eebb373fbccb77df683eb58b716d909450d2e9fefaaf19af0863ac58

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=sha256:6fab0272e7e875e8b3bda7e9ccb38ae2e4fde444eb23d0625b26ed9ac257adef

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:11:43.145805Z digest=sha256:5eeafe50bd9cd72b65245d6e082fc9040857c32759bee07d79766a1abd1b6335

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:11:43.150999Z digest=sha256:adff055530b2cadf999690ef58532c37a139194f7d64ed9ef052bf5b3dd9ac56

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:11:43.155941Z digest=sha256:d228a2428ac31178ed5984461ef7baf56834447bd2ff83fe1b93809b43629bf5

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:11:43.160721Z digest=sha256:4a09214ca74021696e3d98b3f533627a4d077f76ba4ba92c56f593e2a3055eb7

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:11:43.165823Z digest=sha256:d4f586e58f155c1a640ae29e736b12ab70f8fbb8f5f0204889e00c21677ad7e9

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:11:43.171285Z digest=sha256:d62f6c3373c3397a34b610fe0c7fed5ad4efeaec68068f9f0ae130755e7ebbec

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:11:43.176681Z digest=sha256:f9986e00f8ab5a6a15b08aaeaa7b891396fd9039b3c800d3d14a9509e9b7e6a8

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:11:43.181664Z digest=sha256:89814e77012714801a8676ae20582f8b3d42dd4a90e1ac3ca4fa35ceedcdd89b

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:11:43.186640Z digest=sha256:35a1a295209792624d4ea1add0431567c1ab1267bfc0b62bbdcb8b1938b7d415

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:11:43.191740Z digest=sha256:55bc0a860ca63e8576809ffb7171c4e3fcae71ebc35e21df200a2d07fbd4ff8b

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:11:43.196751Z digest=sha256:40e44de9d8046672e8b7e7a4937b64bcbbe21d6cf293cbd0749c43d232889611

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:11:43.201980Z digest=sha256:32e3e668e16ddc3f0f3853c727bfec21e7a378f536cd647327a0542976d92e50

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:11:43.206846Z digest=sha256:bfa4ac204eed21b715380389841807634d4e3fd2a75bd157babf771797a732ac

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:11:43.211825Z digest=sha256:288535d1f67455bd6c4b2fed9dcdba2c60b936b4fd90dd4a211218e80981317b

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:11:43.217130Z digest=sha256:f9112b17cbbcf1838a52642fac22f68ebc9e11fe4155db17bb3e751e5aaaaf7e

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:11:43.222311Z digest=sha256:11786b325ffb3573f02e9ab88c92043ec3a8052d679ae4a71817829c4d9feda4

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:11:43.229061Z digest=sha256:87f8808e68f68802a141f116f8f2403241b6c7338be855fa5b45b866be584865

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:11:43.234214Z digest=sha256:f9c7a2847640d8256353d433b18c7074215a3bbd511743ef0f98c0777da30972

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:11:43.239281Z digest=sha256:b66e87f4685949228ce2a3c013ff20bf22d5845d5aacdad0442dcd952042c68f

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:11:43.244204Z digest=sha256:fbf83e39881bd28a70d9d3c0ce76648fa41a8164550865448cdebc7332b80f67

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T11:35:20.570010Z digest=sha256:f7530cafdb6bc1e01a33d71f916301b0ab25cd8ef4fef09d63e07d3980fd4d0d