Analysis of co-authorship network and the correlation between academic performance and social network measures

Qianwen Xu, Victor Chang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This project conducted link analysis and graph cluster analysis to analyze the co-authorship network of 166 researchers, mainly from three top universities in Shanghai, China. The publication data of researchers in the area of social science between 2014 and 2016 were collected from Scopus, and the g index was calculated as their performance indicator. For this project, the centrality measures, the efficiency of the egocentric network were calculated as well as authorities and hubs were identified in the link analysis. In addition, clustering algorithms based on betweenness centrality were used to conduct the graph cluster analysis. Finally, in order to identify productive researchers, this project employed the Spearman correlation test to analyze the correlation between a researcher's performance and social network measures. Results from this test indicate that except for closeness centrality and degree centrality, the correlation between g-index and betweenness centrality, eigenvector centrality and efficiency is significant.

Original languageEnglish
Title of host publicationIoTBDS 2020 - Proceedings of the 5th International Conference on Internet of Things, Big Data and Security
EditorsGary Wills, Peter Kacsuk, Victor Chang
PublisherSciTePress
Pages359-366
Number of pages8
ISBN (Electronic)9789897584268
DOIs
Publication statusPublished - 1 Nov 2020
Event5th International Conference on Internet of Things, Big Data and Security, IoTBDS 2020 - Virtual, Online
Duration: 7 May 20209 May 2020

Publication series

NameIoTBDS 2020 - Proceedings of the 5th International Conference on Internet of Things, Big Data and Security

Conference

Conference5th International Conference on Internet of Things, Big Data and Security, IoTBDS 2020
CityVirtual, Online
Period7/05/209/05/20

Bibliographical note

Publisher Copyright:
Copyright © 2020 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.

Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.

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