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Paper Citation Record · LEDGER

Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors

As of 12 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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:11:42.903861Z digest=sha256:ea506283b02b05131e99036a41dc86f86b46c66d57c6474dae6d50b266a2787f

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:11:42.909963Z digest=sha256:c123e3b283f5560746cd631b3b71aece2250d1c76b8921264997ae13f6615df9

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:11:42.915383Z digest=sha256:86e3e7aac0e9878f4df6d3c16aa1d6b2a43ed1262847789f02fbbd53915ff9a1

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:11:42.920565Z digest=sha256:73a93d13ad118d9586346128af999a8539f28eb9531f6b34bdb00884cd364519

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:11:42.926253Z digest=sha256:50415ad40ea52ed096ff3e93aabdef7b2bbca041d3cbeea4809d9b028753f4f2

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:11:42.931540Z digest=sha256:65ba2eec26b56ad84511836b8b836c6da7f3029e567210325734e649bd3a9ec7

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:11:42.937330Z digest=sha256:a35494c5da889959f2f8e050cc44001f02ff4b34731a85ea26412754d6c4a50b

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:11:42.942330Z digest=sha256:1fde6dddfdaabf40b0b88444c234d78292dfe7cf17c2bb31ba9675070d2b34b4

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:11:42.947331Z digest=sha256:d7972d624df2efb87c52f9e9ed08f1f139a296965110cef5faeb6b0694527445

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:11:42.952387Z digest=sha256:296661e61c36644c2e3a4a100fde3329e371436c9760adf04d0230288f0c80ed

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:11:42.957357Z digest=sha256:e8fd354618ba0643d861ff6329edcd61b1f2ca5c5aa7f2d7de3b395131fda7d2

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:11:42.962411Z digest=sha256:8f67620b9b0c6dc1af49bede5ff9592c9a741ffa3fde183e8dd7f74bde572b59

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:11:42.968181Z digest=sha256:360749d69398d9d4e4b390bb05fbf73276b21d2a304ded1aebbe4389a2d95b1a

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:11:42.973386Z digest=sha256:44f913f00f902464d0bfbe17d30aa01694ba8326d8e9892f426956fdbff23677

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:11:42.978620Z digest=sha256:283b3596e445fd6c6f4827fb2598a8968392e0fa0db2b3a3029aa133bc7bb5b3

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:11:42.984403Z digest=sha256:968ac059b3e7924c305e9f3b3213ff1a1acadf2c44deecb1532d139e765e47b1

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:11:42.989150Z digest=sha256:e5b85f781c235142e98eb0be90b392c90ad89d5c2bc7049455cd93cb5b00e59d

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:11:42.994233Z digest=sha256:9cbf610474c7737b266003fc72c3f43ee9fa95db7a912b4615309782dc45aa10

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:11:42.999367Z digest=sha256:a2f65f5f53416e663896e65f28d9c0677a0de567d04670a38e00446ba5d83d28

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:11:43.004502Z digest=sha256:1a9cc72170b17368c95e3e86d8d326f68ad2730fee901d6442f402e3f297d13b

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:11:43.009822Z digest=sha256:1a16bd221e4098a6f4281cd623a8442c9573add423973a5a28e1018745970bdc

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:11:43.014993Z digest=sha256:4e27a6d0a81cb8ceb8c478ce811082788c3cdb1e9e6eb64d86a922c7265a3455

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:11:43.020375Z digest=sha256:075cc70d6cd6202f65350477cecb964fbbce3448f8dfef23f33008a3d204a428

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:11:43.025564Z digest=sha256:d75bdf2386ad921d8728910f9208f5ea7cd3c93b7b105e0421968a8291d3fa88

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:11:43.030399Z digest=sha256:aa25e8d77b5d8c23c16a2a136a2f18be9c7f45906916fa8f6f1e8d41e56ad6ae

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:11:43.035408Z digest=sha256:1faf2a75e85e5198d9632321e0696b9bfade5b6bad524d55c9db80007ad1231c

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:11:43.040700Z digest=sha256:cce60a83387302b521b6f1003b88278d307463f6ff593c70975188c71aad606e

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:11:43.045925Z digest=sha256:1d2da56402d9f1cb052418befa0b4cfacd294d34b3e9e9509985d2b54e4fb319

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:11:43.051599Z digest=sha256:9da6cbebf84e9aa977ec01bfb084c7e1ebbe514e41e71666ad6ffec4bdf24582

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:11:43.056889Z digest=sha256:1defd937e361ddd5c6a791c4217579a8f9639fc3994cc8fea07de357660aca2f

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:11:43.067363Z digest=sha256:086e473ed33fa85d1a7eebe7742bc7dfa4937208e74a2d9deba67cad3994f645

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=sha256:1269a62f554e8a407dc6812f6a0e7b366824a9df84f87d48b091291019f6249b

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:11:43.078419Z digest=sha256:9ec3b0e521eec774a179a5320c721bf9bb6e07e4519a950fbdc8a3060fa276c6

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:11:43.083646Z digest=sha256:7fe6a5e4178d0867227bef0699ce44e932a99515e4bf43afb62b350076702e28

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:11:43.088619Z digest=sha256:e2ab094f1fb321e052614a967e69c80121bda5b53f56c62ef23ae47556143465

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:11:43.094095Z digest=sha256:277260563c14852955e744cea9690e918b38e4f75ec127182b353274ca7b5565

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:11:43.099272Z digest=sha256:df06fc7461c5860260628d2c10cf902e43ebc1735ae4811c3477a49674132a6c

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:11:43.104105Z digest=sha256:967c9c88808eaf0f167eca39b5b491815bc466567f9fa0f01af991d6aa02d460

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:11:43.109097Z digest=sha256:b97d217a1b4e2fa8ce0abe2153dbdc09b4be6c311b7391c0b0cab1dab7701709

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:11:43.114265Z digest=sha256:40ead1965be7678bd6a80649737afb39aedbc978a201050334a938ebf8b8ca6a

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:11:43.119428Z digest=sha256:d3b1255a055a05f3f1fdf5d03539e6ce6747f1721947e7285f3e29a7a68ee27d

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:11:43.124426Z digest=sha256:959569c6184e790768079f8f8cad74e3e55f9dba0db65494d599905e3e57a948

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:11:43.129618Z digest=sha256:04c099a4df7fa31f0715bd18849d48d391c37716131c2bd6986614000e0a07b8

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:11:43.135381Z digest=sha256:2ab690372524d74bed1dedb8c786dcfbedc93539d2b4e564f5b893223fe21720

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:11:43.145805Z digest=sha256:84052801c43f6a86b720d3151409463abe943e4d3cb705e9d864f6831728c240

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:11:43.150999Z digest=sha256:5182ee2c66d0db001bd1e55f60dbc7024fce83850883479293b506b031b6e4fd

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:11:43.155941Z digest=sha256:0f6d685377196c5dc294efe08b3b2b807596d370afb3b29fbf98d6586237629c

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:11:43.160721Z digest=sha256:58ee467439c8d646186d5a727a50c04eda857675320d7300b14de5bef4451cf8

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:11:43.165823Z digest=sha256:a62f6006092349ab16ca52ef644e1fc05e2cbe2b7073bd95e9cf99ea4c980474

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:11:43.171285Z digest=sha256:da5f0634c5787c9d355bf2811db63e730c54ae6569f222009e9f1a522b8d81bb

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:11:43.176681Z digest=sha256:a91d5d4b17ff0808e6a8ff53e2ab9ad856f62b0416d6cbc1308dcdb6cc954c99

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:11:43.181664Z digest=sha256:f9273a5eb9e6562a17686aa74b683d0e5eb73b11ceac5418b9d256b5d5897830

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:11:43.186640Z digest=sha256:1a5d6e01f73d3ac20be9da463904638d4f28af7a5da186a326a5b08ed0468d38

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:11:43.191740Z digest=sha256:5524af388b2f3195726ae38e0fbfc9c095cf3ad63810a38fe3b74a1078e22883

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:11:43.196751Z digest=sha256:b19ea0c12f76a6ed3749b5fed21aa4609e901fc47554779be99d598434da4d74

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:11:43.201980Z digest=sha256:71a8dd7f74b8877bd81cddad97ab69a3a0ff4a2f705407ee7a19c090d4330547

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:11:43.206846Z digest=sha256:5350eb748a2ed460eac6199f7b4a853fbc7e7423557016c61b1a202a14dd025e

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:11:43.211825Z digest=sha256:f4e6ddd0503b86e15b3948a8a777cd50a5235709a865b82e662858b6d8682827

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:11:43.217130Z digest=sha256:db4856b1fb127192d7f511a971d5b446fdd3abf9abf654880799bf5eb7f7109a

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:11:43.222311Z digest=sha256:35bb35da6b1d7f65780ca63e054834cbf64ecb584f203c2d57a379ab1ed0ed99

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:11:43.229061Z digest=sha256:c59cbdf47e27160a65a7e50c1c31946eafeb405e89cf7c3af041ada42fee6217

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:11:43.234214Z digest=sha256:352f7dede0edecf501df4c6aeeb77e784b4319b4048d3293f69f6b76326d47aa

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:11:43.239281Z digest=sha256:503b3758c31b01c916df8036acdd9ca850abde227a359ebb3acae74189c2f5ae

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:11:43.244204Z digest=sha256:189149a76e0d5f3c9f80e8de31c0953e768fd6c371fee2850e01ddd7b165a167

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T11:35:20.570010Z digest=sha256:efb4d422c6b050cec4f024b242c5bb177679d6ec0f5ea16d91561dd456e1d813