activity
20122020
most citedIdentifying influential spreaders in complex networks based on gravity formula

372 citations · 1.6k across the 33 of their papers we have counts for

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Showing 2016Show all

9 papers · 1 filter

physics.soc-ph2016★ 25 cited

A Unified Method of Detecting Core-Periphery Structure and Community Structure in Networks

Bing-Bing Xiang, Zhong-Kui Bao, Chuang Ma +3

Core-periphery structure and community structure are two typical meso-scale structures in complex networks. Though the community detection has been extensively investigated from di…

physics.soc-ph2016★ 52 cited

Critical noise of majority-vote model on complex networks

Hanshuang Chen, Chuansheng Shen, Gang He +2

The majority-vote model with noise is one of the simplest nonequilibrium statistical model that has been extensively studied in the context of complex networks. However, the relati…

physics.soc-ph2016★ 13 cited

Explosive Phase Transition in a Majority-Vote Model with Inertia

Hanshuang Chen, Chuansheng Shen, Haifeng Zhang +3

We generalize the original majority-vote model by incorporating an inertia into the microscopic dynamics of the spin flipping, where the spin-flip probability of any individual dep…

physics.soc-ph2016★ 26 cited

Impact of asymptomatic infection on coupled disease-behavior dynamics in complex networks

Hai-Feng Zhang, Jia-Rong Xie, Han-Shuang Chen +2

Studies on how to model the interplay between diseases and behavioral responses (so-called coupled disease-behavior interaction) have attracted increasing attention. Owing to the l…

q-bio.PE2016★ 8 cited

Epidemic extinction in a generalized susceptible-infected-susceptible model

Hanshuang Chen, Feng Huang, Haifeng Zhang +1

We study the extinction of epidemics in a generalized susceptible-infected-susceptible model, where a susceptible individual becomes infected with the rate when contacting …

physics.soc-ph2016★ 25 cited

Improving link prediction in complex networks by adaptively exploiting multiple structural features of networks

Chuang Ma, Zhong-Kui Bao, Hai-Feng Zhang

So far, many network-structure-based link prediction methods have been proposed. However, these methods only highlight one or two structural features of networks, and then use the…