A fast module identification and filtering approach for influence maximization problem in social networks
In this paper, we explore influence maximization, one of the most widely studied problems in
social network analysis. However, developing an effective algorithm for influence …
social network analysis. However, developing an effective algorithm for influence …
An Efficient Rumor Suppression Approach With Knowledge Graph Convolutional Network in Social Network
Social networks currently serve as one of the primary sources from which people obtain
news, with the spread of rumors emerging as a major concern. The goal of rumor …
news, with the spread of rumors emerging as a major concern. The goal of rumor …
Modeling information propagation for target user groups in online social networks based on guidance and incentive strategies
L Meng, G Xu, C Dong, S Wang - Information Sciences, 2025 - Elsevier
The rapid development of online social networks has greatly facilitated the dissemination
and sharing of information. Effectively guiding the propagation of information to specific …
and sharing of information. Effectively guiding the propagation of information to specific …
Sparse Bayesian Learning for Switching Network Identification
Learning dynamical networks based on time series of nodal states is of significant interest in
systems science, computer science, and control engineering. Despite recent progress in …
systems science, computer science, and control engineering. Despite recent progress in …
Analyzing Information Cascading in Large Scale Networks: A Fixed Point Approach
L Fu, J Xu, L Zhou, X Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Information cascading, referred as the phenomenon of an individual following the behavior
of the preceding individual after observing its actions, is prevalent in real social networks …
of the preceding individual after observing its actions, is prevalent in real social networks …