111 citations · 312 across the 18 of their papers we have counts for
20 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…
An effective method for profiling core-periphery structures in complex networks
Jiaqi Nie, Qi Xuan, Dehong Gao +1
Profiling core-periphery structures in networks has attracted significant attention, leading to the development of various methods. Among these, the rich-core method is distinguish…
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…
Exploring agent interaction patterns in the comment sections of fake and real news
Kailun Zhu, Songtao Peng, Jiaqi Nie +3
User comments on social media have been recognized as a crucial factor in distinguishing between fake and real news, with many studies focusing on the textual content of user react…
A simple model of global cascades on random hypergraphs
Lei Chen, Yanpeng Zhu, Jiadong Zhu +5
This study introduces a comprehensive framework that situates information cascades within the domain of higher-order interactions, utilizing a double-threshold hypergraph model. We…
Hub-collision avoidance and leaf-node options algorithm for fractal dimension and renormalization of complex networks
Feiyan Guo, Jiajun Zhou, Zhongyuan Ruan +2
The box-covering method plays a fundamental role in the fractal property recognition and renormalization analysis of complex networks. This study proposes the hub-collision avoidan…
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…
Sampling Subgraph Network with Application to Graph Classification
Jinhuan Wang, Pengtao Chen, Bin Ma +4
Graphs are naturally used to describe the structures of various real-world systems in biology, society, computer science etc., where subgraphs or motifs as basic blocks play an imp…
Epidemic spreading under mutually independent intra- and inter-host pathogen evolution
Xiyun Zhang, Zhongyuan Ruan, Muhua Zheng +3
The dynamics of epidemic spreading is often reduced to the single control parameter , whose value, above or below unity, determines the state of the contagion. If, however, th…
Effect of heterogeneous risk perception on information diffusion, behavior change, and disease transmission
Yang Ye, Qingpeng Zhang, Zhongyuan Ruan +3
Motivated by the importance of individual differences in risk perception and behavior change in people's responses to infectious disease outbreaks (particularly the ongoing COVID-1…
Adversarial Attacks to Scale-Free Networks: Testing the Robustness of Physical Criteria
Qi Xuan, Yalu Shan, Jinhuan Wang +2
Adversarial attacks have been alerting the artificial intelligence community recently, since many machine learning algorithms were found vulnerable to malicious attacks. This paper…
Subgraph Networks with Application to Structural Feature Space Expansion
Qi Xuan, Jinhuan Wang, Minghao Zhao +4
Real-world networks exhibit prominent hierarchical and modular structures, with various subgraphs as building blocks. Most existing studies simply consider distinct subgraphs as mo…
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.…
Service adoption spreading in online social networks
Gerardo Iñiguez, Zhongyuan Ruan, Kimmo Kaski +2
The collective behaviour of people adopting an innovation, product or online service is commonly interpreted as a spreading phenomenon throughout the fabric of society. This proces…
An efficient approach to suppress the negative role of contrarian oscillators in synchronization
Xiyun Zhang, Zhongyuan Ruan, Zonghua Liu
It has been found that contrarian oscillators usually take a negative role in the collective behaviors formed by conformist oscillators. However, experiments revealed that it is al…
Kinetics of Social Contagion
Zhongyuan Ruan, Gerardo Iniguez, Marton Karsai +1
Diffusion of information, behavioral patterns or innovations follows diverse pathways depending on a number of conditions, including the structure of the underlying social network,…