Accurate detection of hierarchical communities in complex networks based on nonlinear dynamical evolution

Author:

Zhuo Zhao12,Cai Shi-Min13ORCID,Tang Ming34,Lai Ying-Cheng5ORCID

Affiliation:

1. Web Sciences Center, School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China

2. College of Communication and Electronic Engineering, Qingdao University of Technology, Qiangdao 266520, China

3. Institute of Fundamental and Frontier Sciences and Big Data Research Center, University of Electronic Science and Technology of China, Chengdu 611731, China

4. School of Information Science Technology, East China Normal University, Shanghai 200241, China

5. School of Electrical Computer and Energy Engineering, Arizona State University, Tempe, Arizona 85287, USA

Funder

Fundamental Research Funds for the Central Universities

Vannevar Bush Faculty Fellowship Program

National Natural Science Foundation of China

Office of Naval Research

Natural Science Foundation of Shandong Province

Publisher

AIP Publishing

Subject

Applied Mathematics,General Physics and Astronomy,Mathematical Physics,Statistical and Nonlinear Physics

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Gravitation-Based Hierarchical Community Detection Algorithm for Structuring Supply Chain Network;International Journal of Computational Intelligence Systems;2023-06-29

2. Dynamic community detection over evolving networks based on the optimized deep graph infomax;Chaos: An Interdisciplinary Journal of Nonlinear Science;2022-05

3. Cascade phenomenon in multilayer networks with dependence groups and hierarchical structure;Physica A: Statistical Mechanics and its Applications;2021-11

4. An improved algorithm for detecting community defined by node-to-node dynamic distance;International Journal of Modern Physics C;2020-09-11

5. Multiscale community estimation based on temporary local balancing strategy;International Journal of Modern Physics C;2020-02-12

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