Results 31 to 40 of about 256,683 (274)
Near-Optimal Convergent Approach for Composed Influence Maximization Problem in Social Networks
IEEE Access, 2019 Crowd psychology is a critical factor when considering information diffusion, which has been modeled as composed influence. The composed influence is represented as a hyperedge in a graph model.
Jianming Zhu +3 more
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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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Least Cost Influence Maximization Across Multiple Social Networks [PDF]
, 2016 Recently in Online Social Networks (OSNs), the Least Cost Influence (LCI) problem has become one of the central research topics. It aims at identifying a minimum number of seed users who can trigger a wide cascade of information propagation.
Das, Soham +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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Sketch-based Influence Maximization and Computation: Scaling up with Guarantees [PDF]
, 2014 Propagation of contagion through networks is a fundamental process. It is used to model the spread of information, influence, or a viral infection.
Chen W. +4 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
doaj
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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Sample Complexity Bounds for Influence Maximization [PDF]
, 2019 Influence maximization (IM) is the problem of finding for a given s ? 1 a set S of |S|=s nodes in a network with maximum influence. With stochastic diffusion models, the influence of a set S of seed nodes is defined as the expectation of its reachability
Cohen, Edith, Kaplan, Haim, Sadeh, Gal
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Influence maximization on temporal networks [PDF]
Physical Review E, 2020 We consider the optimization problem of seeding a spreading process on a temporal network so that the expected size of the resulting outbreak is maximized. We frame the problem for a spreading process following the rules of the susceptible-infected-recovered model with temporal scale equal to the one characterizing the evolution of the network topology.
Şirag Erkol +2 more
openaire +3 more sources