Zobrazeno 1 - 10
of 2 760
pro vyhledávání: '"influence maximization"'
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 6, Pp 8383-8401 (2024)
Abstract The influence maximization problem that has drawn a great deal of attention from researchers aims to identify a subset of influential spreaders that can maximize the expected influence spread in social networks. Existing works on the problem
Externí odkaz:
https://doaj.org/article/82985cff3d26404898aa8974049ee337
Publikováno v:
Visual Informatics, Vol 8, Iss 2, Pp 13-26 (2024)
Influence maximization (IM) algorithms play a significant role in hypergraph analysis tasks, such as epidemic control analysis, viral marketing, and social influence analysis, and various IM algorithms have been proposed. The main challenge lies in I
Externí odkaz:
https://doaj.org/article/8300fe4469e444e0925cb9c7347d2d94
Autor:
Wenzhan Zhang, Ziyao Liu
Publikováno v:
Heliyon, Vol 10, Iss 21, Pp e38916- (2024)
In social networks, maximizing influence is an important research direction. However, traditional influence maximization algorithms often overlook the attribute information of nodes and the heterogeneity of networks, leading to inefficiency and inacc
Externí odkaz:
https://doaj.org/article/d9fff03099a4403f98c9fa19680cb6e0
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 36, Iss 8, Pp 102183- (2024)
Exploring effective and efficient strategies for identifying influential nodes from social networks as seeds to promote the propagation of influence remains a crucial challenge in the field of influence maximization (IM), which has attracted signific
Externí odkaz:
https://doaj.org/article/5a3ff08bbdb9464e86c60368192013a3
Publikováno v:
Tongxin xuebao, Vol 45, Pp 258-269 (2024)
In order to explore the impact of higher-order structures with smaller scales on key node group mining problems and with the goal of optimizing network propagation, a key node group recognition algorithm was proposed based on motif structure and degr
Externí odkaz:
https://doaj.org/article/e82dfd37bd5442a9a93a50f4a4b9d167
Publikováno v:
Array, Vol 24, Iss , Pp 100366- (2024)
Influence Maximization (IM), targeting the optimal selection of k seed nodes to maximize potential information dissemination in prospectively social networks, garners pivotal interest in diverse realms like viral marketing and political discourse dis
Externí odkaz:
https://doaj.org/article/97a2860286d84fa8ae40d81a8eb9fdc9
Akademický článek
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Akademický článek
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Autor:
Anikó KOPACZ
Publikováno v:
Studia Universitatis Babes-Bolyai: Series Informatica, Vol 69, Iss 1 (2024)
Social network analysis is a rapidly evolving research area having several real-life application areas, e.g. digital marketing, epidemiology, spread of misinformation. Influence maximization aims to select a subset of nodes in such manner that the in
Externí odkaz:
https://doaj.org/article/09b874a169c7499a982934a96631d908
Publikováno v:
IEEE Access, Vol 12, Pp 133489-133498 (2024)
The spread of misinformation through social media has often impacted public opinion and precipitated social disruption. In response to such real-world instances, strategies to intervene in the diffusion of misinformation among individuals have been d
Externí odkaz:
https://doaj.org/article/94100d05aaf5445ea3b6433059f4a90a