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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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Maximal Clique Based Influence Maximization in Networks [PDF]
Information Processing and Management of Uncertainty in Knowledge-Based Systems18th International Conference, 2020 Influence maximization is a fundamental problem in several real life applications such as viral marketing, recommendation system, collaboration and social networks. Maximizing influence spreading in a given network aims to find the initially active vertex set of size k called seed nodes (or initial spreaders (In this paper, we use seed set and initial ...
Mhadhbi N, Raddaoui B.
europepmc +3 more sources
Stability and Robustness in Influence Maximization [PDF]
ACM Transactions on Knowledge Discovery From Data, 2018 In the well-studied Influence Maximization problem, the goal is to identify a set of k nodes in a social network whose joint influence on the network is maximized. A large body of recent work has justified research on Influence Maximization models and algorithms with their potential to create societal or economic ...
Xinran He, David Kempe
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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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Robust Influence Maximization [PDF]
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016 12 pages, 4 figures, Technical Report, contains proofs for the paper appeared in KDD ...
Wei Chen 0013 +4 more
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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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