Dynamic community detection based on the Matthew effect

Author:

Sun ZejunORCID,Sun Yanan,Chang Xinfeng,Wang Feifei,Pan Zhongqiang,Wang Guan,Liu Jianfen

Publisher

Elsevier BV

Subject

Statistical and Nonlinear Physics,Statistics and Probability

Reference37 articles.

1. Community detection in networks: A user guide;Fortunato;Phys. Rep.,2016

2. J. Shao, Z. Zhang, Z. Yu, J. Wang, Y. Zhao, Q. Yang, Community Detection and Link Prediction via Cluster-driven Low-rank Matrix Completion, in: IJCAI, 2019, pp. 3382–3388.

3. A fast community detection algorithm based on reconstructing signed networks;Xia;IEEE Syst. J.,2021

4. A systematic comparison of community detection algorithms for measuring selective exposure in co-exposure networks;Mukerjee;Sci. Rep.,2021

5. Tracking community evolution in social networks: A survey;Dakiche;Inf. Process. Manage.,2018

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2. Research on Deep Integration of the “Belt and Road” Aviation Network Based on Community Structure from the Perspective of China;Discrete Dynamics in Nature and Society;2023-04-20

3. Significance of End User Ranking Mechanism for Community Detection;2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT);2023-04-05

4. Dynamic Community Detection Algorithm based on Allocating and Splitting;2022 IEEE 34th International Conference on Tools with Artificial Intelligence (ICTAI);2022-10

5. State-of-the-Art in Community Detection in Temporal Networks;IFIP Advances in Information and Communication Technology;2022

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