activity
20192024
most citedLinking the Network Centrality Measures Closeness and Degree

112 citations · 229 across the 9 of their papers we have counts for

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Showing physics.soc-phShow all

5 papers · 1 filter

physics.soc-ph2022★ 64 cited

Local dominance unveils clusters in networks

Dingyi Shi, Fan Shang, Bingsheng Chen +6

Clusters or communities can provide a coarse-grained description of complex systems at multiple scales, but their detection remains challenging in practice. Community detection met…

physics.soc-ph2022

Emergence of community structures through biased random walks rewiring

Qing Yao, Bingsheng Chen, Tim S. Evans +1

Community structures have been identified in various complex real-world networks, for example, communication, information, internet and shareholder networks. The scaling of communi…

physics.soc-ph2022★ 43 cited

Revealing spatio-temporal interaction patterns behind complex cities

Chenxin Liu, Yu Yang, Bingsheng Chen +4

Cities are typical dynamic complex systems that connect people and facilitate interactions. Revealing universal collective patterns behind spatio-temporal interactions between resi…

physics.soc-ph2021★ 112 cited

Linking the Network Centrality Measures Closeness and Degree

Tim S. Evans, Bingsheng Chen

Measuring the importance of nodes in a network with a centrality measure is a core task in any network application. There are many measures available and it is speculated that many…

physics.soc-ph2021★ 7 cited

Higher-order temporal network effects through triplet evolution

Qing Yao, Bingsheng Chen, Kim Christensen +1

We study the evolution of networks through `triplets' - three-node graphlets. We develop a method to compute a transition matrix to describe the evolution of triplets in temporal n…