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The evolving network model with community size and distance preferences

Author

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  • Chen, Hailiang
  • Chen, Bin
  • Ai, Chuan
  • Zhu, Mengna
  • Qiu, Xiaogang

Abstract

With the development of network models, the importance of community structure had caught much attention. How can the community size and the community distance affect the network structure remains unexplored. Therefore, in this paper, the MoncSid-N and the MoncSid-E are proposed in response to the issue The community size and distance preferences are introduced in these two models. The networks generated by the MoncSid-N show a better similarity to the real-world networks. The network metrics, including average degree, distribution of node degree, and distribution of community size, are used to analyze the performance of the MoncSid-N. Meanwhile, the MoncSid-E solves the problems of the evolution of large-scale networks. A parallel implementation by Pregel of the MoncSid-E is proposed. It is shown that the network with millions of nodes can be generated by the MoncSid-E efficiently. Based on the plenty of simulations and the comparison of real-world networks, the performances of the MoncSid-N and the MoncSid-E are testified.

Suggested Citation

  • Chen, Hailiang & Chen, Bin & Ai, Chuan & Zhu, Mengna & Qiu, Xiaogang, 2022. "The evolving network model with community size and distance preferences," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 596(C).
    • Handle: RePEc:eee:phsmap:v:596:y:2022:i:c:s0378437122001418
    DOI: 10.1016/j.physa.2022.127112
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    References listed on IDEAS

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    1. Gergely Palla & Imre Derényi & Illés Farkas & Tamás Vicsek, 2005. "Uncovering the overlapping community structure of complex networks in nature and society," Nature, Nature, vol. 435(7043), pages 814-818, June.
    2. Li, Hui-Jia & Wang, Qian & Liu, Shenfeng & Hu, Jun, 2020. "Exploring the trust management mechanism in self-organizing complex network based on game theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 542(C).
    3. repec:hal:spmain:info:hdl:2441/4krkv5tkmp871q08f5rv2n43tn is not listed on IDEAS
    4. Kamiński, Bogumił & Prałat, Paweł & Théberge, François, 2021. "Artificial Benchmark for Community Detection (ABCD)—Fast random graph model with community structure," Network Science, Cambridge University Press, vol. 9(2), pages 153-178, June.
    5. Timoteo Carletti & Floriana Gargiulo & Renaud Lambiotte, 2015. "Preferential attachment with partial information," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 88(1), pages 1-5, January.
    6. E. N. Sawardecker & M. Sales-Pardo & L. A.N. Amaral, 2009. "Detection of node group membership in networks with group overlap," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 67(3), pages 277-284, February.
    7. James E. Anderson, 2011. "The Gravity Model," Annual Review of Economics, Annual Reviews, vol. 3(1), pages 133-160, September.
    8. Barabási, Albert-László & Albert, Réka & Jeong, Hawoong, 1999. "Mean-field theory for scale-free random networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 272(1), pages 173-187.
    9. E. N. Sawardecker & C. A. Amundsen & M. Sales-Pardo & L. A.N. Amaral, 2009. "Comparison of methods for the detection of node group membership in bipartite networks," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 72(4), pages 671-677, December.
    10. Li, Xiang & Chen, Guanrong, 2003. "A local-world evolving network model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 328(1), pages 274-286.
    11. Scott Emmons & Stephen Kobourov & Mike Gallant & Katy Börner, 2016. "Analysis of Network Clustering Algorithms and Cluster Quality Metrics at Scale," PLOS ONE, Public Library of Science, vol. 11(7), pages 1-18, July.
    12. Feng Hu & Lin Ma & Xiu-Xiu Zhan & Yinzuo Zhou & Chuang Liu & Haixing Zhao & Zi-Ke Zhang, 2021. "The aging effect in evolving scientific citation networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 4297-4309, May.
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