13 citations · 33 across the 12 of their papers we have counts for
14 papers
Core-periphery structure induces double phase transitions in information cascades
Jiaqi Nie, Xincheng Shu, Yong Min +2
Double phase transitions in spreading processes are commonly associated with additional dynamical or structural complexity. Here, we show that such transitions can emerge naturally…
Message Order Selects Opposite Collective Opinions on Laplacian-Cospectral Networks
Ruiwu Niu, Xincheng Shu, Ying Zhao
Receiving the same messages in different orders can change an agent's judgement. We construct a network model in which this local sequence effect determines the final opinion of an…
Same Resident Strains, Different Attractors: Opposite Local Growth Signs for a Rare Third Strain
Ruiwu Niu, Xincheng Shu, Ying Zhao +1
Most models assess whether a newly introduced pathogen strain can grow when rare by testing it against a steady endemic background. Resident strains, however, can have more than on…
Reliability-Contagion Feasibility in LLM Multi-Agent Networks
Ruiwu Niu, Xincheng Shu, Ying Zhao
Communication allows large language model agents to pool evidence, but it also creates paths along which an erroneous claim can spread. We formulate a correction-aware network mode…
Social contagion under hybrid interactions
Xincheng Shu, Man Yang, Zhongyuan Ruan +1
Threshold-driven models and game theory are two fundamental paradigms for describing human interactions in social systems. However, in mimicking social contagion processes, models…
MAD-MulW: A Multi-Window Anomaly Detection Framework for BGP Security Events
Songtao Peng, Yiping Chen, Xincheng Shu +4
In recent years, various international security events have occurred frequently and interacted between real society and cyberspace. Traditional traffic monitoring mainly focuses on…
Epidemic spreading under game-based self-quarantine behaviors: The different effects of local and global information
Zegang Huang, Xincheng Shu, Qi Xuan +1
During the outbreak of an epidemic, individuals may modify their behaviors in response to external (including local and global) infection-related information. However, the differen…
How the reversible change of contact network affects the epidemic spreading
Xincheng Shu, Zhongyuan Ruan
The mobility patterns of individuals in China during the early outbreak of the COVID-19 pandemic exhibit reversible changes -- in many regions, the mobility first decreased signifi…
A Multi-View Framework for BGP Anomaly Detection via Graph Attention Network
Songtao Peng, Jiaqi Nie, Xincheng Shu +4
As the default protocol for exchanging routing reachability information on the Internet, the abnormal behavior in traffic of Border Gateway Protocols (BGP) is closely related to In…
Inferring Multiple Relationships between ASes using Graph Convolutional Network
Songtao Peng, Xincheng Shu, Zhongyuan Ruan +2
Precisely understanding the business relationships between Autonomous Systems (ASes) is essential for studying the Internet structure. So far, many inference algorithms have been p…
Bidirectional group random walk based network embedding for asymmetric proximity
Jiawei Shen, Xincheng Shu, Hu Yang
Network embedding aims to represent a network into a low dimensional space where the network structural information and inherent properties are maximumly preserved. Random walk bas…
Time-Series Snapshot Network for Partner Recommendation: A Case Study on OSS
Yunyi Xie, Jinyin Chen, Jian Zhang +2
The last decade has witnessed the rapid growth of open source software (OSS). Still, all contributors may find it difficult to assimilate into OSS community even they are enthusias…
A Self-Learning Information Diffusion Model for Smart Social Networks
Qi Xuan, Xincheng Shu, Zhongyuan Ruan +3
In this big data era, more and more social activities are digitized thereby becoming traceable, and thus the studies of social networks attract increasing attention from academia.…
Target Defense Against Link-Prediction-Based Attacks via Evolutionary Perturbations
Shanqing Yu, Minghao Zhao, Chenbo Fu +4
In social networks, by removing some target-sensitive links, privacy protection might be achieved. However, some hidden links can still be re-observed by link prediction methods on…