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Identifying influential nodes using overlapping modularity vitality [PDF]
Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2021 Conference: ASONAM '21: International Conference on Advances in Social Networks Analysis and ...
Rajeh, Stephany +3 more
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Interplay Between Hierarchy and Centrality in Complex Networks
IEEE Access, 2020 Hierarchy and centrality are two popular notions used to characterize the importance of entities in complex systems. Indeed, many complex systems exhibit a natural hierarchical structure, and centrality is a fundamental characteristic allowing to ...
Stephany Rajeh +3 more
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The identification of influential nodes based on structure similarity
Connection Science, 2021 The identification of influential nodes in complex networks is an open issue. To address it, many centrality measures have been proposed, among which the most representative iteration algorithm is the PageRank algorithm.
Jie Zhao +3 more
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Identifying influential nodes in complex networks [PDF]
Physica A: Statistical Mechanics and its Applications, 2012 Identifying influential nodes that lead to faster and wider spreading in complex networks is of theoretical and practical significance. The degree centrality method is very simple but of little relevance. Global metrics such as betweenness centrality and closeness centrality can better identify influential nodes, but are incapable to be applied in ...
Lü, Linyuan +3 more
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Identifying the Top-
IEEE Access, 2022 Identifying the influential and spreader nodes in complex networks solves many types of complex scientific problems. In social networks, identifying the influential individuals can be useful for structuring techniques that accelerate or hinder ...
Kamal Taha
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Identifying Influential Nodes of Complex Networks Based on Trust-Value
Algorithms, 2020 The real world contains many kinds of complex network. Using influence nodes in complex networks can promote or inhibit the spread of information. Identifying influential nodes has become a hot topic around the world. Most of the existing algorithms used
Jinfang Sheng +4 more
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Ranking influential nodes in networks from aggregate local information
Physical Review Research, 2023 Many complex systems exhibit a natural hierarchy in which elements can be ranked according to a notion of “influence”. While the complete and accurate knowledge of the interactions between constituents is ordinarily required for the computation of nodes'
Silvia Bartolucci +3 more
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ISPRS International Journal of Geo-Information, 2019 Recently, social networks have shown huge potential in terms of collaborative web services and the study of peer influence as a result of the massive amount of data, datasets, and interrelations generated.
Heba M. Wagih +2 more
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A Machine Learning Based Framework for Identifying Influential Nodes in Complex Networks
IEEE Access, 2020 In complex networks, identifying influential nodes is of great importance for its wide applications. Traditional centrality methods are usually directly based on topological structures of networks, and different centrality methods consider different ...
Gouheng Zhao +4 more
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Local-Forest Method for Superspreaders Identification in Online Social Networks
Entropy, 2022 Identifying the most influential spreaders in online social networks plays a prominent role in affecting information dissemination and public opinions. Researchers propose many effective identification methods, such as k-shell. However, these methods are
Yajing Hao +5 more
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