Traffic dynamics on homogeneous networks with community structure

Jinlong Ma (), Zishuo An (), Yi Zhou (), Yi Zhang, Xiangyang Xu () and Sufeng Li ()
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Jinlong Ma: School of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, P. R. China
Zishuo An: School of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, P. R. China
Yi Zhou: School of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, P. R. China
Yi Zhang: School of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, P. R. China
Xiangyang Xu: School of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, P. R. China
Sufeng Li: School of Economics, Hebei GEO University, Shijiazhuang 050031, P. R. China

International Journal of Theoretical and Applied Finance (IJTAF), 2022, vol. 33, issue 04, 1-13

Abstract: In complex networks, how topology structures influence the traffic dynamics on networks is a hot topic. The existence of structure within communities may affect the transmission of data packets in the network. In this paper, we investigate the impact of community structure on traffic dynamics in random networks which are homogeneous. It is found that three key factors influence traffic capacity in such community networks: community number, community strength, and average node degree. The increase of average node degree increases traffic capacity, while the increase of community number and community strength decreases traffic capacity.

Keywords: Community structure; traffic dynamics; traffic capacity; network congestion (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1142/S0129183122500486

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