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• W2626372015 abstract "Centrality is an important measure to identify the most important actors in a network. This paper discusses the various Centrality Measures used in Social Network Analysis. These measures are tested on complex real-world social network data sets such as Video Sharing Networks, Social Interaction Network and Co-Authorship Networks to examine their effects on them. We carry out the correlation analysis of these centralities and plot the results to recommend when to use those centrality measures. Additionally, we introduce a new centrality measure — Cohesion Centrality based on the cohesiveness of a graph, develop its sequential algorithm and further devise a parallel algorithm to implement it." @default.
• W2626372015 created "2017-06-23" @default.
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• W2626372015 date "2016-11-01" @default.
• W2626372015 modified "2023-10-16" @default.
• W2626372015 title "Correlating centralities of social networks" @default.
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• W2626372015 doi "https://doi.org/10.1109/ants.2016.7947779" @default.
• W2626372015 hasPublicationYear "2016" @default.
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