Results 31 to 40 of about 36,296 (256)
Big Data Mining and Analytics, 2022 Online social networks are increasingly connecting people around the world. Influence maximization is a key area of research in online social networks, which identifies influential users during information dissemination.
Jie Tong +4 more
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Modeling and maximizing influence diffusion in social networks for viral marketing
Applied Network Science, 2018 Modeling influence diffusion in social networks is an important challenge. We investigate influence-diffusion modeling and maximization in the setting of viral marketing, in which a node’s influence is measured by the number of nodes it can activate to ...
Wenjun Wang, W. Nick Street
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Influence Maximization under Fairness Budget Distribution in Online Social Networks
Mathematics, 2022 In social influence analysis, viral marketing, and other fields, the influence maximization problem is a fundamental one with critical applications and has attracted many researchers in the last decades.
Bich-Ngan T. Nguyen +3 more
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A method to improve influence maximization in social networks based on community detection [PDF]
Network Biology, 2022 With the emergence of social networks, human relationships on the internet have become a new form. Social networks are not only a communication tool for users, but can also be a basis for marketing and advertising products of different companies ...
Mansoureh Abolghasemi, Esmaeil Bagheri
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Substitute Seed Nodes Mining Algorithms for Influence Maximization in Multi-Social Networks
Future Internet, 2019 Due to the growing interconnections of social networks, the problem of influence maximization has been extended from a single social network to multiple social networks.
Xuli Rao +3 more
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An Influence maximization algorithm in social network using K-shell decomposition and community detection [PDF]
Network Biology, 2020 The increasing use of services and different applications of social networks has led to a wide range of research and studies in the field of information technology and computer networks towards such networks.
Alighanbari, Esmaeil Bagheri
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Targeted Influence Maximization Based on Cloud Computing Over Big Data in Social Networks
IEEE Access, 2020 This paper focuses on the targeted influence maximization based on cloud computing in social networks. Most of existing influence maximization works assume that the influence diffusion probabilities on edges are fixed, and identify the Top-k users to ...
Shiyu Chen +4 more
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Group-Fairness in Influence Maximization [PDF]
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019 Influence maximization is a widely used model for information dissemination in social networks. Recent work has employed such interventions across a wide range of social problems, spanning public health, substance abuse, and international development (to name a few examples).
Alan Tsang +4 more
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Scalable Lattice Influence Maximization [PDF]
IEEE Transactions on Computational Social Systems, 2020 Influence maximization is the task of finding k seed nodes in a social network such that the expected number of activated nodes in the network (under certain influence propagation model), referred to as the influence spread, is maximized. Lattice influence maximization (LIM) generalizes influence maximization such that, instead of selecting k seed ...
Wei Chen 0013, Ruihan Wu, Zheng Yu
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A new method for maximizing influence on social networks based on node membership in communities [PDF]
Network Biology, 2020 Influence maximization is one of the fundamental issues in social networks context. In viral marketing which is one of applications of this category, a small group of users are selected to accept a product and influence of these users on other people ...
Esmaeil Bagheri
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