activity
20132023
most citedSearching for superspreaders of information in real-world social media

358 citations · 893 across the 19 of their papers we have counts for

collaborators

20 papers

cs.SI2023★ 1 cited

Influence Maximization based on Threshold Model in Hypergraphs

Renquan Zhang, Xilong Qu, Qiang Zhang +2

Influence Maximization problem has received significant attention in recent years due to its application in various do?mains such as product recommendation, public opinion dissemin…

cs.SI2022

Characterizing human collective behaviours of COVID-19 in Hong Kong

Zhanwei Du, Xiao Zhang, Lin Wang +12

People are likely to engage in collective behaviour online during extreme events, such as the COVID-19 crisis, to express their awareness, actions and concerns. Hong Kong has imple…

q-bio.PE2022

Evaluating the impact of quarantine measures on COVID-19 spread

Renquan Zhang, Yu Wang, Zheng Lv +1

During the early stage of the COVID-19 pandemic, many countries implemented non-pharmaceutical interventions (NPIs) to control the transmission of SARS-CoV-2, the causative pathoge…

nlin.AO2022★ 18 cited

Targeted influence maximization in complex networks

Renquan Zhang, Xiaolin Wang, Sen Pei

Many real-world applications based on spreading processes in complex networks aim to deliver information to specific target nodes. However, it remains challenging to optimally sele…

stat.AP2021★ 23 cited

Epidemic Management and Control Through Risk-Dependent Individual Contact Interventions

Tapio Schneider, Oliver R. A. Dunbar, Jinlong Wu +8

Testing, contact tracing, and isolation (TTI) is an epidemic management and control approach that is difficult to implement at scale because it relies on manual tracing of contacts…

nlin.AO2019★ 3 cited

Backtracking activation impacts the criticality of excitable networks

Renquan Zhang, Guoyi Quan, Jiannan Wang +1

Networks of excitable elements are widely used to model real-world biological and social systems. The dynamic range of an excitable network quantifies the range of stimulus intensi…