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A centrality measure for cycles and subgraphs II [PDF]
Applied Network Science, 2018 In a recent work we introduced a measure of importance for groups of vertices in a complex network. This centrality for groups is always between 0 and 1 and induces the eigenvector centrality over vertices.
Pierre-Louis Giscard, Richard C. Wilson
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A spatial interaction incorporated betweenness centrality measure. [PDF]
PLoS ONE, 2022 Betweenness centrality (BC) is widely used to identify critical nodes in a network by exploring the ability of all nodes to act as intermediaries for information exchange. However, one of its assumptions, i.e., the contributions of all shortest paths are
Xiaohuan Wu +5 more
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A New Measure of Centrality for Brain Networks [PDF]
PLoS ONE, 2010 Recent developments in network theory have allowed for the study of the structure and function of the human brain in terms of a network of interconnected components.
Paul J Laurienti +2 more
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Classifying Quranic Verse Topics using Word Centrality Measure
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2021 Muslims believe that, as the speech of Allah, The Quran is a miracle that has specialties in itself. Some of the specialties that have studied are the regularities in the number of letters, words, vocabularies, etc.
Ferdian Yulianto +2 more
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SAM Centrality: a Hop-Based Centrality Measure for Ranking Users in Social Network [PDF]
EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, 2020 Majority of researcher are attracted by the social network analysis due to the rush of people towards socialnetwork. Along with many problems, social network analysis is facing an interesting problem that is rankingof users in social network which is ...
Abdul Samad +4 more
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Centrality measures in networks
Social Choice and Welfare, 2023 We show that prominent centrality measures in network analysis are all based on additively separable and linear treatments of statistics that capture a node's position in the network. This enables us to provide a taxonomy of centrality measures that distills them to varying on two dimensions: (i) which information they make use of about nodes ...
Francis Bloch +2 more
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P-centrality: An Improvement for Information Diffusion Maximization in Weighted Social Networks [PDF]
Computer and Knowledge Engineering, 2023 Online social networks (OSNs) such as Facebook, Twitter, Instagram, etc. have attracted many users all around the world. Based on the centrality concept, many methods are proposed in order to find influential users in an online social network.
Najva Hafizi +5 more
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Local detour centrality: a novel local centrality measure for weighted networks
Applied Network Science, 2022 Centrality, in some sense, captures the extent to which a vertex controls the flow of information in a network. Here, we propose Local Detour Centrality as a novel centrality-based betweenness measure that captures the extent to which a vertex shortens ...
Haim Cohen +5 more
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Strategic Evasion of Centrality Measures [PDF]
International Joint Conference on Autonomous Agents and Multiagent Systems, 2021 Among the most fundamental tools for social network analysis are centrality measures, which quantify the importance of every node in the network. This centrality analysis typically disregards the possibility that the network may have been deliberately manipulated to mislead the analysis. To solve this problem, a recent study attempted to understand how
Waniek, Marcin +5 more
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Continuous-time quantum walk based centrality testing on weighted graphs
Scientific Reports, 2022 Centrality measure is an essential tool in network analysis and widely used in the domain of computer science, biology and sociology. Taking advantage of the speedup offered by quantum computation, various quantum centrality measures have been proposed ...
Yang Wang +3 more
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