CASE STUDY â CENTRALITY MEASURE ANALYSIS ON CO-AUTHORSHIP NETWORK

V. Umadevi

34 citations0/0 files storedJournal of Global Research in Computer Sciences

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scientometrics and bibliometrics research Complex Network Analysis Techniques Web visibility and informetrics

Abstract

Study of social networks reveal communication patterns which are of interest to researchers. Co-authorship network is one type of a social network. These networks represent the publication work carried out by researchers. Co-authorship networks analysis is useful in understanding the structure of scientific collaborations and status of individual authors. Centrality measure calculation is one of the many tasks of social network analysis. Focus of this paper work is on centrality measure analysis carried out on the co-authorship network using Gephi, a social network analysis tool.

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2005Co-authorship networks in the digital library research community

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2021Factors Affecting Risk Perception in Respect of Equity Shares: A Social Network Analysis Approach 2017Analysis of co-authorship in computer networks using centrality measures 2017A Social Network Analysis of World Cities Network 2018Evolución y tendencias investigativas de la interactividad de los museos a través de las TIC

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