Results 11 to 20 of about 256,683 (274)
Influence Maximization with Bandits [PDF]
, 2015 12 ...
Vaswani, Sharan +2 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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Large-scale influence maximization via maximal covering location [PDF]
European Journal of Operational Research, 2021 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Evren Güney +3 more
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Overexposure-Aware Influence Maximization [PDF]
ACM Transactions on Internet Technology, 2020 Viral marketing campaigns are often negatively affected by overexposure. Overexposure occurs when users become less likely to favor a promoted product after receiving information about the product from too large a fraction of their friends. Yet, existing influence diffusion models do not take overexposure into account, effectively overestimating the ...
Grigorios Loukides +2 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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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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Influence maximization: Divide and conquer
Physical Review E, 2023 The problem of influence maximization, i.e., finding the set of nodes having maximal influence on a network, is of great importance for several applications. In the past two decades, many heuristic metrics to spot influencers have been proposed. Here, we introduce a framework to boost the performance of any such metric.
Siddharth Patwardhan +2 more
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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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