Analyzing Persian Social Networks: An Empirical Study

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Author(s): Leila Esmaeili (University of Qom, Iran), Mahdi Nasiri (Iran University of Science and Technology, Iran)and Behrouz Minaei-Bidgoli (Iran University of Science and Technology, Iran)
Copyright: 2013
Pages: 20
Source title: Studies in Virtual Communities, Blogs, and Modern Social Networking: Measurements, Analysis, and Investigations
Source Author(s)/Editor(s): Subhasish Dasgupta (George Washington University, USA)
DOI: 10.4018/978-1-4666-4022-1.ch012

Keywords: Information Science Reference / Media & Communications / Social Computing / Virtual Communities & Virtual Reality

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Abstract

Analysis of data in social networks is very important for researchers, sociologists, and academics. Given the size and diversity of web data in a Web 2.0 environment, analyzing this data has been a challenge. Since data act as inputs in such projects, the accuracy of the output is directly related to the input. Good data allows for extraction of valuable knowledge. In this article, the authors present their experiences with preparation and preprocessing of data in a Persian social network. The authors also report on the analysis of the data and findings.

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Analyzing Persian Social Networks: An Empirical Study

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