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Paper Citation Record · LEDGER

A model for generating temporal networks with dynamic community structure guided by mutual information

As of 22 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2607.15855.

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pith.paper-citation-record.v1
2607.15855 v1

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measured 40 of 40 reference resolution

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40 of 40 outbound references displayed

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Outbound references

Observation aeed7bc4-e83f-4b94-99dd-73eb8e927c2c · outbound

This paper cites Community detection and stochastic block models: recent developments.Journal of Machine Learning Research, 18(177):1–86, 2018.

A model for generating temporal networks with dynamic community structure guided by mutual information Community detection and stochastic block models: recent developments.Journal of Machine Learning Research, 18(177):1–86, 2018

Reference 1

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Observation e2b219c6-90d5-44b0-9cd0-d7063a3248ea · outbound

This paper cites Community detection in general stochastic block models: Fundamental limits and efficient algorithms for recovery.

A model for generating temporal networks with dynamic community structure guided by mutual information Community detection in general stochastic block models: Fundamental limits and efficient algorithms for recovery

Reference 2

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Observation e8808e8f-13a8-47ad-a353-dcb1c70634a1 · outbound

This paper cites Mixed membership stochastic block- models.Advances in neural information processing systems, 21, 2008.

A model for generating temporal networks with dynamic community structure guided by mutual information Mixed membership stochastic block- models.Advances in neural information processing systems, 21, 2008

Reference 3

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Observation 17218656-021d-4f3c-9118-5013fa4ceb27 · outbound

This paper cites Generating temporal contact graphs using random walkers.IEEE Transactions on Network Science and Engineering, 2025.

A model for generating temporal networks with dynamic community structure guided by mutual information Generating temporal contact graphs using random walkers.IEEE Transactions on Network Science and Engineering, 2025

Reference 4

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Observation 9dde98ab-c86c-4f89-b4b8-ff39fb9b58b6 · outbound

This paper cites Constrained information flows in temporal networks reveal intermittent communities.Physical Review E, 97(6):062312, 2018.

A model for generating temporal networks with dynamic community structure guided by mutual information Constrained information flows in temporal networks reveal intermittent communities.Physical Review E, 97(6):062312, 2018

Reference 5

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Observation bf54eae6-3748-42d4-998e-16986f0ff433 · outbound

This paper cites A framework for the construction of generative models for mesoscale structure in multilayer networks.Physical Review Research, 2(2):023100, 2020.

A model for generating temporal networks with dynamic community structure guided by mutual information A framework for the construction of generative models for mesoscale structure in multilayer networks.Physical Review Research, 2(2):023100, 2020

Reference 6

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Observation 98636088-928d-42cb-b793-e128cec93a3b · outbound

This paper cites Community detection in temporal multilayer networks, with an application to correlation networks.

A model for generating temporal networks with dynamic community structure guided by mutual information Community detection in temporal multilayer networks, with an application to correlation networks

Reference 7

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Observation 9d711c52-4e09-4428-b9e3-ddb16aa2becc · outbound

This paper cites Clan: An efficient distributed temporal community detection protocol for manets.

A model for generating temporal networks with dynamic community structure guided by mutual information Clan: An efficient distributed temporal community detection protocol for manets

Reference 8

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Observation 9c28d6f0-e52a-4b25-bff7-799fba59cfb8 · outbound

This paper cites Community detection in sparse time- evolving graphs with a dynamical bethe-hessian.Advances in Neural Information Processing Sys- tems, 33:7486–7497, 2020.

A model for generating temporal networks with dynamic community structure guided by mutual information Community detection in sparse time- evolving graphs with a dynamical bethe-hessian.Advances in Neural Information Processing Sys- tems, 33:7486–7497, 2020

Reference 9

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Observation 99f78ba2-65df-44d0-848e-413efee869e7 · outbound

This paper cites Tigger: Scalable generative modelling for temporal interaction graphs.

A model for generating temporal networks with dynamic community structure guided by mutual information Tigger: Scalable generative modelling for temporal interaction graphs

Reference 10

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Observation 027d6199-f2bf-43c8-ac0c-480eafd9b03b · outbound

This paper cites Anomaly detection in blockchain networks: A comprehensive survey.IEEE Communications Surveys & Tutorials, 25(1):289–318, 2022.

A model for generating temporal networks with dynamic community structure guided by mutual information Anomaly detection in blockchain networks: A comprehensive survey.IEEE Communications Surveys & Tutorials, 25(1):289–318, 2022

Reference 11

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Observation b5a6b1a4-25a4-4d97-9c0d-c823303e1ec1 · outbound

This paper cites Stochastic blockmodels: First steps.Social networks, 5(2):109–137, 1983.

A model for generating temporal networks with dynamic community structure guided by mutual information Stochastic blockmodels: First steps.Social networks, 5(2):109–137, 1983

Reference 12

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Observation b03260ee-190d-46f2-abb6-324f9164dc47 · outbound

This paper cites Temporal graph benchmark for machine learning on temporal graphs.Advances in Neural Information Processing Systems, 36:2056–2073, 2023.

A model for generating temporal networks with dynamic community structure guided by mutual information Temporal graph benchmark for machine learning on temporal graphs.Advances in Neural Information Processing Systems, 36:2056–2073, 2023

Reference 13

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Observation 20472bf9-33dc-48ce-9f98-57c5e36204f8 · outbound

This paper cites A survey of community detection methods in multilayer networks.Data Mining and Knowledge Discovery, 35:1–45, 2021.

A model for generating temporal networks with dynamic community structure guided by mutual information A survey of community detection methods in multilayer networks.Data Mining and Knowledge Discovery, 35:1–45, 2021

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Observation 0bfe1109-9f8e-4dd9-b3e3-8947fd04a1b1 · outbound

This paper cites Dynamic infinite re- lational model for time-varying relational data analysis.Advances in Neural Information Processing Systems, 23, 2010.

A model for generating temporal networks with dynamic community structure guided by mutual information Dynamic infinite re- lational model for time-varying relational data analysis.Advances in Neural Information Processing Systems, 23, 2010

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Observation 29169419-b498-4c00-b2e5-ac8473556ced · outbound

This paper cites Temporal community detec- tion based on symmetric nonnegative matrix factorization.International Journal of Modern Physics B, 31(13):1750102, 2017.

A model for generating temporal networks with dynamic community structure guided by mutual information Temporal community detec- tion based on symmetric nonnegative matrix factorization.International Journal of Modern Physics B, 31(13):1750102, 2017

Reference 16

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Observation 5ceefb73-75eb-46d2-b952-7dd47c6712f4 · outbound

This paper cites Illegal community detection in bitcoin transaction networks.Entropy, 25(7):1069, 2023.

A model for generating temporal networks with dynamic community structure guided by mutual information Illegal community detection in bitcoin transaction networks.Entropy, 25(7):1069, 2023

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Observation 566560ad-b1a0-4773-9dae-71b6c75a2eab · outbound

This paper cites Stochastic blockmodels and community structure in networks.

A model for generating temporal networks with dynamic community structure guided by mutual information Stochastic blockmodels and community structure in networks

Reference 18

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Observation 88ee34ff-ca46-409f-bd21-e0963a8e1a2f · outbound

This paper cites Effects of missing data in social networks.Social networks, 28(3):247–268, 2006.

A model for generating temporal networks with dynamic community structure guided by mutual information Effects of missing data in social networks.Social networks, 28(3):247–268, 2006

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This paper cites Adjusting for network size and com- position effects in exponential-family random graph models.Statistical methodology, 8(4):319–339, 2011.

A model for generating temporal networks with dynamic community structure guided by mutual information Adjusting for network size and com- position effects in exponential-family random graph models.Statistical methodology, 8(4):319–339, 2011

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Observation c2662981-b22d-4a1a-b3b5-987351ab4f53 · outbound

This paper cites Restricted set classification: Who is there?Pattern Recognition, 63:158–170, 2017.

A model for generating temporal networks with dynamic community structure guided by mutual information Restricted set classification: Who is there?Pattern Recognition, 63:158–170, 2017

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Observation 267f8a6a-6490-4fd1-b6d8-08f75bf6c772 · outbound

This paper cites Benchmarks for testing community detection algorithms on directed and weighted graphs with overlapping communities.Physical Review E, 80(1):016118, 2009.

A model for generating temporal networks with dynamic community structure guided by mutual information Benchmarks for testing community detection algorithms on directed and weighted graphs with overlapping communities.Physical Review E, 80(1):016118, 2009

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This paper cites Benchmark graphs for testing com- munity detection algorithms.Physical Review E, 78(4):046110, 2008.

A model for generating temporal networks with dynamic community structure guided by mutual information Benchmark graphs for testing com- munity detection algorithms.Physical Review E, 78(4):046110, 2008

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This paper cites Multilayer financial complex networks and their applications.IEEE Transactions on Circuits and Systems I: Regular Papers, 69(10):4103–4116, 2022.

A model for generating temporal networks with dynamic community structure guided by mutual information Multilayer financial complex networks and their applications.IEEE Transactions on Circuits and Systems I: Regular Papers, 69(10):4103–4116, 2022

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This paper cites Facetnet: a framework for analyzing communities and their evolutions in dynamic networks.

A model for generating temporal networks with dynamic community structure guided by mutual information Facetnet: a framework for analyzing communities and their evolutions in dynamic networks

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This paper cites Evolution of communities in dynamic social networks: An efficient map-based approach.Expert Systems with Applications, 147:113221, 2020.

A model for generating temporal networks with dynamic community structure guided by mutual information Evolution of communities in dynamic social networks: An efficient map-based approach.Expert Systems with Applications, 147:113221, 2020

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This paper cites Com- munity structure in time-dependent, multiscale, and multiplex networks.science, 328(5980):876–878, 2010.

A model for generating temporal networks with dynamic community structure guided by mutual information Com- munity structure in time-dependent, multiscale, and multiplex networks.science, 328(5980):876–878, 2010

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This paper cites Mapping the NFT revolution: market trends, trade networks, and visual features.Scientific reports, 11(1):20902, 2021.

A model for generating temporal networks with dynamic community structure guided by mutual information Mapping the NFT revolution: market trends, trade networks, and visual features.Scientific reports, 11(1):20902, 2021

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This paper cites Relating modularity maximization and stochastic block models in multilayer networks.SIAM Journal on Mathematics of Data Science, 1(4):667–698, 2019.

A model for generating temporal networks with dynamic community structure guided by mutual information Relating modularity maximization and stochastic block models in multilayer networks.SIAM Journal on Mathematics of Data Science, 1(4):667–698, 2019

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A model for generating temporal networks with dynamic community structure guided by mutual information Motifs in temporal networks

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This paper cites Nonparametric weighted stochastic block models.Physical Review E, 97(1):012306, 2018.

A model for generating temporal networks with dynamic community structure guided by mutual information Nonparametric weighted stochastic block models.Physical Review E, 97(1):012306, 2018

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This paper cites inferential community detection in networks: Pitfalls, myths and half-truths.

A model for generating temporal networks with dynamic community structure guided by mutual information inferential community detection in networks: Pitfalls, myths and half-truths

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A model for generating temporal networks with dynamic community structure guided by mutual information Rossi and Nesreen K

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A model for generating temporal networks with dynamic community structure guided by mutual information Raphtory: The temporal graph engine for Rust and Python

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A model for generating temporal networks with dynamic community structure guided by mutual information Tracking the evolution of com- munity structures in time-evolving social networks

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Observation 1f7cce95-397a-4ef8-8a0f-4f4497e282ae · outbound

This paper cites A tutorial on spectral clustering.Statistics and computing, 17(4):395–416, 2007.

A model for generating temporal networks with dynamic community structure guided by mutual information A tutorial on spectral clustering.Statistics and computing, 17(4):395–416, 2007

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Observation 9d8a5e03-023a-42d2-a8ac-b3dab727771a · outbound

This paper cites Modeling and detecting change in temporal networks via the degree corrected stochastic block model.Quality and Reliability Engi- neering International, 35(5):1363–1378, 2019.

A model for generating temporal networks with dynamic community structure guided by mutual information Modeling and detecting change in temporal networks via the degree corrected stochastic block model.Quality and Reliability Engi- neering International, 35(5):1363–1378, 2019

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Observation 1a62da1b-2806-401b-9aa8-e59b4b868b3f · outbound

This paper cites Dymond: Dynamic motif-nodes network generative model.

A model for generating temporal networks with dynamic community structure guided by mutual information Dymond: Dynamic motif-nodes network generative model

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Observation 83b81f3c-24f8-452c-a89b-4377faba58cc · outbound

This paper cites Quantifying community evolution in temporal networks.arXiv preprint arXiv:2411.10632, 2024.

A model for generating temporal networks with dynamic community structure guided by mutual information Quantifying community evolution in temporal networks.arXiv preprint arXiv:2411.10632, 2024

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Observation 987a15b7-cf60-439b-b145-a0e018301e3b · outbound

This paper cites A data-driven graph generative model for temporal interaction networks.

A model for generating temporal networks with dynamic community structure guided by mutual information A data-driven graph generative model for temporal interaction networks

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