30 citations · 53 across the 17 of their papers we have counts for
17 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…
FS_GPlib: Breaking the Web-Scale Barrier - A Unified Acceleration Framework for Graph Propagation Models
Chang Guo, Juyuan Zhang, Chang Su +2
Propagation models are essential for modeling and simulating dynamic processes such as epidemics and information diffusion. However, existing tools struggle to scale to large-scale…
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…
Revealing Chaotic Dependence and Degree-Structure Mechanisms in Optimal Pinning Control of Complex Networks
Qingyang Liu, Tianlong Fan, Liming Pan +1
Identifying an optimal set of driver nodes to achieve synchronization via pinning control is a fundamental challenge in complex network science, limited by computational intractabi…
Perturbation-Based Pinning Control Strategy for Enhanced Synchronization in Complex Networks
Ziang Mao, Tianlong Fan, Linyuan Lü
Synchronization is essential for the stability and coordinated operation of complex networked systems. Pinning control, which selectively controls a subset of nodes, provides a sca…
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-…
Modeling Emotional Dynamics in Social Networks: Uncovering the Positive Role of Information Cocoons in Group Emotional Stabilization
Jinhu Ren, Xifei Fu, Tianlong Fan +1
Information cocooning-amplified by algorithmic filtering-poses complex challenges for emotional dynamics in online social networks. This study explores how algorithmically reinforc…
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,…
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…
A Quick Framework for Evaluating Worst Robustness of Complex Networks
Wenjun Jiang, Peiyan Li, Tianlong Fan +4
Robustness is pivotal for comprehending, designing, optimizing, and rehabilitating networks, with simulation attacks being the prevailing evaluation method. Simulation attacks are…
Network higher-order structure dismantling
Peng Peng, Tianlong Fan, Linyuan Lü
Diverse higher-order structures, foundational for supporting a network's "meta-functions", play a vital role in structure, functionality, and the emergence of complex dynamics. Nev…
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…
Comprehensive Analysis of Network Robustness Evaluation Based on Convolutional Neural Networks with Spatial Pyramid Pooling
Wenjun Jiang, Tianlong Fan, Changhao Li +3
Connectivity robustness, a crucial aspect for understanding, optimizing, and repairing complex networks, has traditionally been evaluated through time-consuming and often impractic…
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…
Characterizing cycle structure in complex networks
Tianlong Fan, Linyuan Lü, Dinghua Shi +1
Cycle is the simplest structure that brings redundant paths in network connectivity and feedback effects in network dynamics. Focusing on cycle structure, this paper defines a new…
Towards the cycle structures in complex network: A new perspective
Tianlong Fan, Linyuan Lü, Dinghua Shi
Stars and cycles are basic structures in network construction. The former has been well studied in network analysis, while the latter attracted rare attention. A node together with…