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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 8, ISSUE 5, MAY 2019

Social Network Analysis

Susha Jain, Mahaveer Jain, Balasubramani R, Vasudeva Pai

DOI: 10.17148/IJARCCE.2019.8543

Abstract: Social Network Analysis is an action of making inquiries about social network, which is also termed as social structures through the application of networks and Graph theory. To manage the social networks, different methodologies have been proposed to break down them. What has not been done is to appropriately and productively imitate, govern and utilize the social network. In this paper we are analyzing the twitter revolution data set. It is a social network which is a combination of many separate networks which captured a certain kind of interaction between individuals. We are applying island method and centrality concept on the data set. Here we can observe how the information diffusion happens among the individuals and also the actor and communities who plays the major role in process can be noticed.

Keywords: Twitter, Facebook, Google+ and LinkedIn, Organizational Network Analysis [ONA]

How to Cite:

[1] Susha Jain, Mahaveer Jain, Balasubramani R, Vasudeva Pai, “Social Network Analysis,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2019.8543