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DOI: 10.14569/IJACSA.2018.091040
PDF

Analysis of Coauthorship Network in Political Science using Centrality Measures

Author 1: Adeel Ahmed
Author 2: Muhammad Fahad Khan
Author 3: Muhammad Usman
Author 4: Khalid Saleem

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 9 Issue 10, 2018.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: In recent era, networks of data are growing massively and forming a shape of complex structure. Data scientists try to analyze different complex networks and utilize these networks to understand the complex structure of a network in a meaningful way. There is a need to detect and identify such a complex network in order to know how these networks provide communication means while using the complex structure. Social network analysis provides methods to explore and analyze such complex networks using graph theories, network properties and community detection algorithms. In this paper, an analysis of co-authorship network of Public Relation and Public Administration subjects of Microsoft Academic Graph (MAG) is presented, using common centrality measures. The authors belong to different research and academic institutes present all over the world. Cohesive groups of authors have been identified and ranked on the basis of centrality measures, such as betweenness, degree, page rank and closeness. Experimental results show the discovery of authors who are good in specific domain, have a strong field knowledge and maintain collaboration among their peers in the field of Public Relations and Public Administration.

Keywords: Social networks; undirected graph; centrality measures; community detection; data visualization

Adeel Ahmed, Muhammad Fahad Khan, Muhammad Usman and Khalid Saleem, “Analysis of Coauthorship Network in Political Science using Centrality Measures” International Journal of Advanced Computer Science and Applications(IJACSA), 9(10), 2018. http://dx.doi.org/10.14569/IJACSA.2018.091040

@article{Ahmed2018,
title = {Analysis of Coauthorship Network in Political Science using Centrality Measures},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.091040},
url = {http://dx.doi.org/10.14569/IJACSA.2018.091040},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {10},
author = {Adeel Ahmed and Muhammad Fahad Khan and Muhammad Usman and Khalid Saleem}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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