Results 31 to 40 of about 272,557 (244)
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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A Vibrational Approach to Node Centrality and Vulnerability in Complex Networks [PDF]
, 2009 We propose a new measure of vulnerability of a node in a complex network. The measure is based on the analogy in which the nodes of the network are represented by balls and the links are identified with springs.
Barthelemy +31 more
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Joint Centrality Distinguishes Optimal Leaders in Noisy Networks [PDF]
, 2015 We study the performance of a network of agents tasked with tracking an external unknown signal in the presence of stochastic disturbances and under the condition that only a limited subset of agents, known as leaders, can measure the signal directly. We
Fitch, Katherine E. +1 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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Adjustable reach in a network centrality based on current flows
, 2021 Centrality, which quantifies the "importance" of individual nodes, is among the most essential concepts in modern network theory. Most prominent centrality measures can be expressed as an aggregation of influence flows between pairs of nodes.
Gurfinkel, Aleks J., Rikvold, Per Arne
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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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Opinion-Based Centrality in Multiplex Networks: A Convex Optimization Approach
, 2017 Most people simultaneously belong to several distinct social networks, in which their relations can be different. They have opinions about certain topics, which they share and spread on these networks, and are influenced by the opinions of other persons.
Labatut, Vincent +1 more
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Journal of Economic Structures, 2017 Agricultural information is transferred through social interactions; therefore, ties to agricultural informants and network structures within farmers’ local neighborhoods determine their information-gathering abilities.
Ayu Pratiwi, Aya Suzuki
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