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Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Influence and Information Flow in Online Social Networks

Influence and Information Flow in Online Social Networks
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Author(s): Afrand Agah (West Chester University, USA)and Mehran Asadi (The Lincoln University, USA)
Copyright: 2021
Pages: 19
Source title: Research Anthology on Strategies for Using Social Media as a Service and Tool in Business
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-7998-9020-1.ch026

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Abstract

This article introduces a new method to discover the role of influential people in online social networks and presents an algorithm that recognizes influential users to reach a target in the network, in order to provide a strategic advantage for organizations to direct the scope of their digital marketing strategies. Social links among friends play an important role in dictating their behavior in online social networks, these social links determine the flow of information in form of wall posts via shares, likes, re-tweets, mentions, etc., which determines the influence of a node. This article initially identities the correlated nodes in large data sets using customized divide-and-conquer algorithm and then measures the influence of each of these nodes using a linear function. Furthermore, the empirical results show that users who have the highest influence are those whose total number of friends are closer to the total number of friends of each node divided by the total number of nodes in the network.

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