activity
20072021
most citedCoevolution spreading in complex networks

289 citations · 1.5k across the 34 of their papers we have counts for

collaborators

34 papers

physics.soc-ph2021

Identify Hidden Spreaders of Pandemic over Contact Tracing Networks

Shuhong Huang, Jiachen Sun, Ling Feng +3

The COVID-19 infection cases have surged globally, causing devastations to both the society and economy. A key factor contributing to the sustained spreading is the presence of a l…

physics.soc-ph2021★ 4 cited

Detecting and modelling real percolation and phase transitions of information on social media

Jiarong Xie, Fanhui Meng, Jiachen Sun +3

It is widely believed that information spread on social media is a percolation process, with parallels to phase transitions in theoretical physics. However, evidence for this hypot…

physics.soc-ph2020★ 2 cited

Induced Percolation on Networked Systems

Jiarong Xie, Xiangrong Wang, Ling Feng +3

Percolation theory has been widely used to study phase transitions in complex networked systems. It has also successfully explained several macroscopic phenomena across different f…

cs.SI2020★ 3 cited

A Novel Framework with Information Fusion and Neighborhood Enhancement for User Identity Linkage

Siyuan Chen, Jiahai Wang, Xin Du +1

User identity linkage across social networks is an essential problem for cross-network data mining. Since network structure, profile and content information describe different aspe…

physics.soc-ph2019★ 4 cited

Beyond the Coverage of Information Spreading: Analytical and Empirical Evidence of Re-exposure in Large-scale Online Social Networks

Xin Lu, Shuo Qin, Petter Holme +4

Peer influence and social contagion are key denominators in the adoption and participation of information spreading, such as news propagation, word-of-mouth or viral marketing. In…

physics.soc-ph2019★ 289 cited

Coevolution spreading in complex networks

Wei Wang, Quan-Hui Liu, Junhao Liang +2

The propagations of diseases, behaviors and information in real systems are rarely independent of each other, but they are coevolving with strong interactions. To uncover the dynam…