Article Code : 139506021734183210(DOI : 10.7508/jist.2017.20.002)

Article Title : Analysis of expert finding algorithms in social network in order to rank the top algorithms

Journal Number : 20 Autumn 2017

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Files : 731 KB

List of Authors

  Full Name Email Grade Degree Corresponding Author
1 Ahmad Agha Kardan Assistant Professor PhD
2 Behnam Bozorgi Post Graduate Student M.Sc


The ubiquity of Internet and social networks have turned question and answer communities into an environment suitable for users to ask their questions about anything or to share their knowledge by providing answers to other users’ questions. These communities designed for knowledge-sharing aim to improve user knowledge, making it imperative to have a mechanism that can evaluate users’ knowledge level or in other words “to find experts”. There is a need for expert-finding algorithms in social networks or any other knowledge sharing environment like question and answer communities. There are various content analysis and link analysis methods for expert-finding in social networks. This paper aims to challenge four algorithms by applying them to our dataset and analyze the results in order to compare the algorithms. The algorithms suitable for expert finding has been found and ranked. Based on the results and tests it is concluded that the Z-score algorithm has a better performance than others.