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20212025
most citedBeyond network centrality: Individual-level behavioral traits for predicting information superspreaders in social media

23 citations · 25 across the 11 of their papers we have counts for

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5 papers · 1 filter

cs.SI2025

Meritocracy versus Matthew-effect: Two underlying network formation mechanisms of online social platforms

Yuchen Xu, Wenjun Mei, Ge Chen +1

With the rapid development of the internet industry, online social networks have come to play an increasingly significant role in everyday life. In recent years, content-based emer…

cs.SI2024★ 1 cited

A universal optimization framework based on cycle ranking for influence maximization in complex networks

Wenfeng Shi, Tianlong Fan, Shuqi Xu +2

Influence maximization aims to identify a set of influential individuals, referred to as influencers, as information sources to maximize the spread of information within networks,…

cs.SI2024★ 1 cited

The role of susceptible individuals in spreading dynamics

Chang Su, Fang Zhou, Linyuan Lü

Exploring the internal mechanism of information spreading is critical for understanding and controlling the process. Traditional spreading models often assume individuals play the…

cs.SI2021★ 23 cited

Beyond network centrality: Individual-level behavioral traits for predicting information superspreaders in social media

Fang Zhou, Linyuan Lü, Jianguo Liu +1

Understanding the heterogeneous role of individuals in large-scale information spreading is essential to manage online behavior as well as its potential offline consequences. To th…

cs.SI2021

Cost-effective Network Disintegration through Targeted Enumeration

Zhigang Wang, Ye Deng, Petter Holme +3

Finding an optimal subset of nodes or links to disintegrate harmful networks is a fundamental problem in network science, with potential applications to anti-terrorism, epidemic co…