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New centrality measure for nodes based on user social status and behavior on Facebook

Saman Forouzandeh (Department of Computer Engineering, University of Applied Science and Technology, Center of Tehran Municipality ICT org. Tehran, Iran)
Amir Sheikhahmadi (Department of Computer Engineering, Sanandaj Branch, Islamic Azad University, Sanandaj, Iran)
Atae Rezaei Aghdam (Faculty of Information Technology, University of Applied Science and Technology, Center of Tehran Municipality ICT org. Tehran, Iran)
Shuxiang Xu (School of Engineering and ICT, Faculty of Science Engineering and Technology, University of Tasmania, Launceston, Tasmania, Australia)

International Journal of Web Information Systems

ISSN: 1744-0084

Article publication date: 18 June 2018

247

Abstract

Purpose

This paper aims to analyze the role of influential nodes on other users on Facebook social media sites by social and behavioral characteristics of users. Hence, a new centrality for user is defined, applying susceptible-infected recovered (SIR) model to identify influence of users. Results show that the combination of behavioral and social characteristics would be determined the most influential users that influence majority of nodes on social networks.

Design/methodology/approach

In this paper, the authors define a new centrality for users, considering node status and behaviors. Thus, this node has a high level of influence. Node social status includes node degree, clustering coefficient and average neighbors’ node, and social status of node refers to user activities on Facebook social media website such as sending posts and receiving likes from other users. According to social status and user activity, the new centrality is defined. Finally, through the SIR model, the authors explore infection power of nodes and their influences of other node in the network.

Findings

Results show that the proposed centrality is more effective than other centrality approaches, infecting more nodes in social network. Another significant point in this research is that users who have high social status and activities on Facebook are more influential than users who have only high social status on the Facebook social media.

Originality/value

The influence of user on others in social media includes two key factors. The first factor is user social status such as node degree and clustering coefficient in social media graph and the second factor is related to user social activities in social media sites. Most centralities focused on node social status without considering node behavior. This paper analyzes the role of influential nodes on other users on Facebook social media site by social and behavioral characteristics of users.

Keywords

Citation

Forouzandeh, S., Sheikhahmadi, A., Rezaei Aghdam, A. and Xu, S. (2018), "New centrality measure for nodes based on user social status and behavior on Facebook", International Journal of Web Information Systems, Vol. 14 No. 2, pp. 158-176. https://doi.org/10.1108/IJWIS-07-2017-0053

Publisher

:

Emerald Publishing Limited

Copyright © 2018, Emerald Publishing Limited

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