Results 31 to 40 of about 43,402 (304)

A NOVEL LOCAL CENTRALITY MEASURE

open access: yes, 2022
This paper offers a novel local centrality-based betweenness measure designed to capture, within a semantic network, the extent to which a word is characterized by contextual diversity (CD).
Haim Cohen
core   +1 more source

Assessing Construct Validity of a Novel Cancer Identity Centrality Measure

open access: yes, 2022
This study explores the construct validity of a novel measure of cancer identity centrality. This study also explores the potential moderating effect of identity valence on the relationship between cancer identity centrality and health-related behaviors ...
Kathryn Pluta, Leigh A [PSYCH] Phillips
core   +2 more sources

Computing Influential Nodes Using the Nearest Neighborhood Trust Value and PageRank in Complex Networks

open access: yesEntropy, 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
doaj   +1 more source

Potential gain as a centrality measure [PDF]

open access: yesIEEE/WIC/ACM International Conference on Web Intelligence, 2019
Navigability is a distinctive features of graphs associated with artificial or natural systems whose primary goal is the transportation of information or goods. We say that a graph $\mathcal{G}$ is navigable when an agent is able to efficiently reach any target node in $\mathcal{G}$ by means of local routing decisions.
De Meo P., Levene M., Provetti A.
openaire   +4 more sources

Centrality measures in interval-weighted networks

open access: yesJournal of Complex Networks, 2022
Abstract Centrality measures are used in network science to assess the centrality of vertices or the position they occupy in a network. There are a large number of centrality measures according to some criterion. However, the generalizations of the most well-known centrality measures for weighted networks, degree centrality, closeness ...
Hélder Alves   +2 more
openaire   +2 more sources

Centrality Measures in Directed Fuzzy Social Networks

open access: yesFuzzy 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
doaj   +1 more source

A centrality measure for quantifying spread on weighted, directed networks

open access: yes, 2023
While many centrality measures for complex networks have been proposed, relatively few have been developed specifically for weighted, directed (WD) networks.
McCulloch, Sean   +6 more
core   +1 more source

Evaluating Influential Nodes in Social Networks by Local Centrality with a Coefficient

open access: yesISPRS 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
doaj   +1 more source

Resistance distance, information centrality, node vulnerability and vibrations in complex networks

open access: yes, 2010
We discuss three seemingly unrelated quantities that have been introduced in different fields of science for complex networks. The three quantities are the resistance distance, the information centrality and the node displacement.
Estrada, Ernesto   +3 more
core   +1 more source

PERFORMANCE EVALUATION OF BETWEENNESS CENTRALITY USING CLUSTERING METHODS

open access: yesStudia 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
doaj   +1 more source

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