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Social Influence Maximization in Hypergraphs [PDF]
Entropy, 2021 This work deals with a generalization of the minimum Target Set Selection (TSS) problem, a key algorithmic question in information diffusion research due to its potential commercial value.
Alessia Antelmi +3 more
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Influence maximization in Boolean networks [PDF]
Nature Communications, 2022 Boolean networks modelling various biological processes are characterized by nonlinear reversible dynamics that makes their control challenging. The authors introduce extended concepts of influence and control, typically considered in the study of ...
Thomas Parmer +2 more
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Identifying essential proteins from protein–protein interaction networks based on influence maximization [PDF]
BMC Bioinformatics, 2022 Background Essential proteins are indispensable to the development and survival of cells. The identification of essential proteins not only is helpful for the understanding of the minimal requirements for cell survival, but also has practical ...
Weixia Xu +3 more
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Influence Maximization for Fixed Heterogeneous Thresholds [PDF]
Scientific Reports, 2019 Influence Maximization is a NP-hard problem of selecting the optimal set of influencers in a network. Here, we propose two new approaches to influence maximization based on two very different metrics. The first metric, termed Balanced Index (BI), is fast
P. D. Karampourniotis +2 more
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Influence Maximization Algorithm Based on Local Domain [PDF]
Jisuanji gongcheng, 2022 Measures of user influence are at the core of the influence maximization problem.As these measures relate to network topology, they may be classified as global indicators or local indicators.Global indicators rely on the complete network topology to ...
SHEN Jiquan, LIN Shuai, LI Zhiying
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Cut-Vertex-Based Influence Maximization Problem in Social Network [PDF]
Jisuanji kexue yu tansuo, 2022 Influence maximization problem is an important issue in social network analysis, the diversity of social network structure has continuously injected vitality into the influence maximization problem, which has been a hot issue in academic circles for ...
YANG Shuxin, SONG Jianbin, LIANG Wen
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Influence maximization in social networks: Theories, methods and challenges
Array, 2022 Influence maximization (IM) is the process of choosing a set of seeds from a social network so that the most individuals will be influenced by them. Calculating the social effect of a given seed set and identifying the smallest seed set that maximizes ...
Yuxin Ye, Yunliang Chen, Wei Han
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A Hierarchical Generative Embedding Model for Influence Maximization in Attributed Social Networks
Applied Sciences, 2022 Nowadays, we use social networks such as Twitter, Facebook, WeChat and Weibo as means to communicate with each other. Social networks have become so indispensable in our everyday life that we cannot imagine what daily life would be like without social ...
Luodi Xie, Huimin Huang, Qing Du
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Maximization influence in dynamic social networks and graphs
Array, 2022 Social influence and influence diffusion have been extensively studied in social networks. However, most existing works on influence diffusion focus on static networks.
Gkolfo I. Smani +1 more
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Influence Maximization Based on Backward Reasoning in Online Social Networks
Mathematics, 2021 Along with the rapid development of information technology, online social networks have become more and more popular, which has greatly changed the way of information diffusion.
Lin Zhang, Kan Li
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