activity
19952022
most citedCellular automata models of traffic flow along a highway containing a junction

282 citations · 1.2k across the 39 of their papers we have counts for

collaborators

40 papers

physics.soc-ph2022★ 4 cited

Preventing the Spread of Online Harms: Physics of Contagion across Multi-Platform Social Media and Metaverses

Chen Xu, Pak Ming Hui, Om K. Jha +2

We present a minimal yet empirically-grounded theory for the spread of online harms (e.g. misinformation, hate) across current multi-platform social media and future Metaverses. Ne…

physics.soc-ph2019★ 43 cited

Non-Markovian recovery makes complex networks more resilient against large-scale failures

Zhao-Hua Lin, Mi Feng, Ming Tang +4

Non-Markovian spontaneous recovery processes with a time delay (memory) are ubiquitous in the real world. How does the non-Markovian characteristic affect failure propagation in co…

cs.SI2018★ 4 cited

Uncovering Complex Overlapping Pattern of Communities in Large-scale Social Networks

Elvis H. W. Xu, Pak Ming Hui

The conventional notion of community that favors a high ratio of internal edges to outbound edges becomes invalid when each vertex participates in multiple communities. Such a beha…

physics.soc-ph2017★ 50 cited

Accurate ranking of influential spreaders in networks based on dynamically asymmetric link-impact

Ying Liu, Ming Tang, Younghae Do +1

We propose an efficient and accurate measure for ranking spreaders and identifying the influential ones in spreading processes in networks. While the edges determine the connection…

physics.soc-ph2016

Adaptive cyclically dominating game on co-evolving networks: Numerical and analytic results

Chi Wun Choi, Chen Xu, Pak Ming Hui

A co-evolving and adaptive Rock (R)-Paper (P)-Scissors (S) game (ARPS) in which an agent uses one of three cyclically dominating strategies is proposed and studied numerically and…

cs.SI2015★ 1 cited

Efficient Detection of Communities with Significant Overlaps in Networks: Partial Community Merger Algorithm

Elvis H. W. Xu, P. M. Hui

Detecting communities in large-scale networks is a challenging task when each vertex may belong to multiple communities, as is often the case in social networks. The multiple membe…