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

Qianwen Xu; Victor Chang

doi:10.5220/0009428503590366

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

Qianwen Xu, Victor Chang

School of Computing, Engineering & Digital Technologies

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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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 language	English
Title of host publication	IoTBDS 2020 - Proceedings of the 5th International Conference on Internet of Things, Big Data and Security
Editors	Gary Wills, Peter Kacsuk, Victor Chang
Publisher	SciTePress
Pages	359-366
Number of pages	8
ISBN (Electronic)	9789897584268
DOIs	https://doi.org/10.5220/0009428503590366
Publication status	Published - 1 Nov 2020
Event	5th International Conference on Internet of Things, Big Data and Security, IoTBDS 2020 - Virtual, Online Duration: 7 May 2020 → 9 May 2020

Publication series

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

Conference

Conference	5th International Conference on Internet of Things, Big Data and Security, IoTBDS 2020
City	Virtual, Online
Period	7/05/20 → 9/05/20

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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10.5220/0009428503590366

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Xu, Q., & Chang, V. (2020). Analysis of co-authorship network and the correlation between academic performance and social network measures. In G. Wills, P. Kacsuk, & V. Chang (Eds.), IoTBDS 2020 - Proceedings of the 5th International Conference on Internet of Things, Big Data and Security (pp. 359-366). (IoTBDS 2020 - Proceedings of the 5th International Conference on Internet of Things, Big Data and Security). SciTePress. https://doi.org/10.5220/0009428503590366

Xu, Qianwen ; Chang, Victor. / Analysis of co-authorship network and the correlation between academic performance and social network measures. IoTBDS 2020 - Proceedings of the 5th International Conference on Internet of Things, Big Data and Security. editor / Gary Wills ; Peter Kacsuk ; Victor Chang. SciTePress, 2020. pp. 359-366 (IoTBDS 2020 - Proceedings of the 5th International Conference on Internet of Things, Big Data and Security).

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title = "Analysis of co-authorship network and the correlation between academic performance and social network measures",

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.",

author = "Qianwen Xu and Victor Chang",

note = "Publisher Copyright: Copyright {\textcopyright} 2020 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 5th International Conference on Internet of Things, Big Data and Security, IoTBDS 2020 ; Conference date: 07-05-2020 Through 09-05-2020",

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Xu, Q & Chang, V 2020, Analysis of co-authorship network and the correlation between academic performance and social network measures. in G Wills, P Kacsuk & V Chang (eds), IoTBDS 2020 - Proceedings of the 5th International Conference on Internet of Things, Big Data and Security. IoTBDS 2020 - Proceedings of the 5th International Conference on Internet of Things, Big Data and Security, SciTePress, pp. 359-366, 5th International Conference on Internet of Things, Big Data and Security, IoTBDS 2020, Virtual, Online, 7/05/20. https://doi.org/10.5220/0009428503590366

Analysis of co-authorship network and the correlation between academic performance and social network measures. / Xu, Qianwen; Chang, Victor.
IoTBDS 2020 - Proceedings of the 5th International Conference on Internet of Things, Big Data and Security. ed. / Gary Wills; Peter Kacsuk; Victor Chang. SciTePress, 2020. p. 359-366 (IoTBDS 2020 - Proceedings of the 5th International Conference on Internet of Things, Big Data and Security).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Xu Q, Chang V. Analysis of co-authorship network and the correlation between academic performance and social network measures. In Wills G, Kacsuk P, Chang V, editors, IoTBDS 2020 - Proceedings of the 5th International Conference on Internet of Things, Big Data and Security. SciTePress. 2020. p. 359-366. (IoTBDS 2020 - Proceedings of the 5th International Conference on Internet of Things, Big Data and Security). doi: 10.5220/0009428503590366

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

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