Analysis of Online Social Network Connections for Identification of Influential Users

Author:

Al-Garadi Mohammed Ali1ORCID,Varathan Kasturi Dewi1,Ravana Sri Devi1,Ahmed Ejaz1,Mujtaba Ghulam2,Khan Muhammad Usman Shahid3,Khan Samee U.4

Affiliation:

1. University of Malaya, Kuala Lumpur, Malaysia

2. University of Malaya, Sukkur Iba University, Sukkur, Pakistan

3. Comsats Institute of IT, Abbottabad

4. North Dakota State University, ND, USA

Abstract

Online social networks (OSNs) are structures that help users to interact, exchange, and propagate new ideas. The identification of the influential users in OSNs is a significant process for accelerating the propagation of information that includes marketing applications or hindering the dissemination of unwanted contents, such as viruses, negative online behaviors, and rumors. This article presents a detailed survey of influential users’ identification algorithms and their performance evaluation approaches in OSNs. The survey covers recent techniques, applications, and open research issues on analysis of OSN connections for identification of influential users.

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science,Theoretical Computer Science

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