2 citations · 6 across the 8 of their papers we have counts for
8 papers
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…
A universal meta-heuristic framework for influence maximization in hypergraphs
Ming Xie, Xiu-Xiu Zhan, Chuang Liu +1
Influence maximization (IM) aims to select a small number of nodes that are able to maximize their influence in a network and covers a wide range of applications. Despite numerous…
A hyper-distance-based method for hypernetwork comparison
Tao Xu, Xiaowen Xie, Zi-Ke Zhang +2
Hypernetwork is a useful way to depict multiple connections between nodes, making it an ideal tool for representing complex relationships in network science. In recent years, there…