2 citations · 3 across the 8 of their papers we have counts for
7 papers · 1 filter
Entropy-Driven Sensor Deployment and Source Detection in Hypergraphs
Qiao Ke, Chengjun Zhang, Chuang Liu +3
Identifying the diffusion source in complex networks is critical for understanding and controlling epidemic spread. In realistic settings, full observation of node states is rarely…
Source Detection in Hypergraph Epidemic Dynamics using a Higher-Order Dynamic Message Passing Algorithm
Qiao Ke, Naoki Masuda, Zhen Jin +2
Source detection is crucial for capturing the dynamics of real-world infectious diseases and informing effective containment strategies. Most existing approaches to source detectio…
Modeling Coupled Epidemic-Information Dynamics via Reaction-Diffusion Processes on Multiplex Networks with Media and Mobility Effects
Guangyuan Mei, Yao Cai, Su-Su Zhang +3
While most existing epidemic models focus on the influence of isolated factors, infectious disease transmission is inherently shaped by the complex interplay of multiple interactin…
ESND: An Embedding-based Framework for Signed Network Dismantling
Chenwei Xie, Chuang Liu, Cong Li +2
Network dismantling aims to maximize the disintegration of a network by removing a specific set of nodes or edges and is applied to various tasks in diverse domains, such as cracki…
Locating influential nodes in hypergraphs via fuzzy collective influence
Su-Su Zhang, Xiaoyan Yu, Gui-Quan Sun +2
Complex contagion phenomena, such as the spread of information or contagious diseases, often occur among the population due to higher-order interactions between individuals. Indivi…
Directed network comparison using motifs
Chenwei Xie, Qiao Ke, Haoyu Chen +2
Analyzing and characterizing the differences between networks is a fundamental and challenging problem in network science. Previously, most network comparison methods that rely on…
Influence maximization in multilayer networks based on adaptive coupling degree
Su-Su Zhang, Ming Xie, Chuang Liu +1
Influence Maximization(IM) aims to identify highly influential nodes to maximize influence spread in a network. Previous research on the IM problem has mainly concentrated on singl…