Results 21 to 30 of about 271,718 (292)
Message passing optimization of Harmonic Influence Centrality [PDF]
, 2014 This paper proposes a new measure of node centrality in social networks, the Harmonic Influence Centrality, which emerges naturally in the study of social influence over networks.
Fagnani, Fabio +3 more
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Knotty-centrality: finding the connective core of a complex network. [PDF]
PLoS ONE, 2012 A network measure called knotty-centrality is defined that quantifies the extent to which a given subset of a graph's nodes constitutes a densely intra-connected topologically central connective core. Using this measure, the knotty centre of a network is
Murray Shanahan, Mark Wildie
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What do centrality measures measure in psychological networks? [PDF]
Journal of Abnormal Psychology, 2019 ISSN:0021 ...
Laura F. Bringmann +7 more
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Entropy, 2022 Computing influential nodes gets a lot of attention from many researchers for information spreading in complex networks. It has vast applications, such as viral marketing, social leader creation, rumor control, and opinion monitoring.
Koduru Hajarathaiah +4 more
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Centrality Measures in Directed Fuzzy Social Networks
Fuzzy Information and Engineering, 2015 The centrality of actors has been a key issue in undirected fuzzy social network (UFSN) analysis. For undirected fuzzy social networks (UFSNs) where edges are just a present or absent undirected fuzzy relation with no more information attached. There has
Ren-Jie Hu +3 more
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Centrality Measures in Networks [PDF]
SSRN Electronic Journal, 2016 We show that although the prominent centrality measures in network analysis make use of different information about nodes' positions, they all process that information in an identical way: they all spring from a common family that are characterized by the same simple axioms.
Francis Bloch, Matthew O. Jackson
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Measurement of Central Tendencies
Journal for Research in Applied Sciences and Biotechnology, 2023 The main purpose of this article is to understand central tendencies, its application, its types, as well as to learn how to achieve arithmetic mean from grouped and ungrouped data. We will be able to understand geometric and harmonic means and way to calculate them from grouped and ungrouped data.
Muhajir Sial, Abdullah Abid
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Evaluating Influential Nodes in Social Networks by Local Centrality with a Coefficient
ISPRS International Journal of Geo-Information, 2017 Influential nodes are rare in social networks, but their influence can quickly spread to most nodes in the network. Identifying influential nodes allows us to better control epidemic outbreaks, accelerate information propagation, conduct successful e ...
Xiaohui Zhao +3 more
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PERFORMANCE EVALUATION OF BETWEENNESS CENTRALITY USING CLUSTERING METHODS
Studia Universitatis Babes-Bolyai: Series Informatica, 2020 Betweenness centrality measure is used as a general measure of centrality, which can be applied in many scientific fields like social networks, biological networks, telecommunication networks or even in any area that can be well modelled using complex ...
Bence SZABARI, Attila KISS
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Localization and centrality in networks
, 2014 Eigenvector centrality is a common measure of the importance of nodes in a network. Here we show that under common conditions the eigenvector centrality displays a localization transition that causes most of the weight of the centrality to concentrate on
Martin, Travis +2 more
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