30 citations · 57 across the 11 of their papers we have counts for
11 papers
TopoIntent: Compiling Security Intent into Executable, Compliance-Checked Network Topologies
Xiaokang Qu, Jianliang Ma, Zao Fan +3
Enterprise security topology design requires translating business intent, regulatory requirements, and risk assumptions into zones, boundary devices, inter-zone paths, and access-c…
Adaptive Punishment for Cooperation in Mixed-Motive Games
Min Tang, Fanqi Kong, Linyuan Lü +1
Mixed-motive scenarios are ubiquitous in real-world multi-agent interactions, where self-interested agents often defect for immediate rewards, overlooking the potential of altruist…
Structure-Aware Optimal Intervention for Rumor Dynamics on Networks: Node-Level, Time-Varying, and Resource-Constrained
Yan Zhu, Qingyang Liu, Chang Guo +2
Rumor propagation in social networks undermines social stability and public trust, calling for interventions that are both effective and resource-efficient. We develop a node-level…
Deterministic Frequency--Domain Inference of Network Topology and Hidden Components via Structure--Behavior Scaling
Xiaoxiao Liang, Tianlong Fan, Linyuan Lü
Hidden interactions and components in complex systems-ranging from covert actors in terrorist networks to unobserved brain regions and molecular regulators-often manifest only thro…
Weighted cycle-based identification of influential node groups in complex networks
Wenxin Zheng, Wenfeng Shi, Tianlong Fan +1
Identifying influential node groups in complex networks is crucial for optimizing information dissemination, epidemic control, and viral marketing. However, traditional centrality-…
A Fast Maximum Clique Algorithm Based on Network Decomposition for Large Sparse Networks
Tianlong Fan, Wenjun Jiang, Yi-Cheng Zhang +1
Finding maximum cliques in large networks is a challenging combinatorial problem with many real-world applications. We present a fast algorithm to achieve the exact solution for th…
Unveiling Explosive Vulnerability of Networks through Edge Collective Behavior
Peng Peng, Tianlong Fan, Xiao-Long Ren +1
Edges, binding together nodes within networks, have the potential to induce dramatic transitions when specific collective failure behaviors emerge. These changes, initially unfoldi…
Machine learning prediction of network dynamics with privacy protection
Xin Xia, Yansen Su, Linyuan Lv +3
Predicting network dynamics based on data, a problem with broad applications, has been studied extensively in the past, but most existing approaches assume that the complete set of…
Identifying vital nodes by Achlioptas process
Zhihao Qiu, Tianlong Fan, Ming Li +1
The vital nodes are the ones that play an important role in the organization of network structure or the dynamical behaviours of networked systems. Previous studies usually applied…
The role of a matchmaker in buyer-vendor interactions
Linyuan Lü, Matus Medo, Yi-Cheng Zhang
We consider a simple market where a vendor offers multiple variants of a certain product and preferences of both the vendor and potential buyers are heterogeneous and possibly even…
Emergence of product differentiation from consumer heterogeneity and asymmetric information
Linyuan Lü, Matus Medo, Yi-Cheng Zhang +1
We introduce a fully probabilistic framework of consumer product choice based on quality assessment. It allows us to capture many aspects of marketing such as partial information a…