Title: A survey of tools for social network analysis

Authors: Poonam Rani; Jyoti Shokeen

Addresses: Department of Computer Engineering, Netaji Subhas University of Technology, Delhi, India ' Department of CSE, University Institute of Engineering and Technology, Maharshi Dayanand University, Rohtak, Haryana, India

Abstract: Social networking sites contain large amounts of data about users and their relationship with each other. This data is huge, noisy and unstructured, due to which it is necessary to mine the data to extract useful information. To interpret various network features and analyse the results visually or numerically, there are many tools for social network analysis and visualisation. The selection of a suitable tool to perform a specific work is an arduous task. This paper discusses various tools used in the analysis of social networks. It also gives a brief overview of few popular languages for social network analysis. We give a comprehensive comparison of social network analysis tools based on different parameters. We also perform experiments on these tools to evaluate their computational speed and scalability.

Keywords: social networks; social network analysis; SNA; social network visualisation; social network tools.

DOI: 10.1504/IJWET.2021.119879

International Journal of Web Engineering and Technology, 2021 Vol.16 No.3, pp.189 - 216

Published online: 22 Dec 2021 *

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