A survey of tools for social network analysis

被引：7
|
作者：
Rani P. [1 ]
Shokeen J. [2 ]
机构：
[1] Department of Computer Engineering, Netaji Subhas University of Technology, Delhi
[2] Department of CSE, University Institute of Engineering and Technology, Maharshi Dayanand University, Haryana, Rohtak
来源：
Shokeen, Jyoti (jyotishokeen12@gmail.com) | 1600年 / Inderscience Publishers卷 / 16期
关键词：
SNA; Social network analysis; Social network tools; Social network visualisation; Social networks;
D O I：
10.1504/IJWET.2021.119879
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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. Copyright © 2021 Inderscience Enterprises Ltd.
引用
收藏
页码：189 / 216
页数：27
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