Analysis of Online Social Network Connections for Identification of Influential Users

Al-Garadi, Mohammed Ali and Varathan, Kasturi Dewi and Ravana, Sri Devi and Ahmed, Ejaz and Mujtaba, Ghulam and Khan, Muhammad Usman Shahid and Khan, Samee U. (2018) Analysis of Online Social Network Connections for Identification of Influential Users. ACM Computing Surveys, 51 (1). pp. 1-37. ISSN 0360-0300

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Official URL: https://doi.org/10.1145/3155897

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.

Item Type: Article
Uncontrolled Keywords: Big data; Complex networks; Identification algorithms; Influential users; OSNs; Social media
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Computer Science & Information Technology
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 26 Sep 2019 02:57
Last Modified: 26 Sep 2019 02:57
URI: http://eprints.um.edu.my/id/eprint/22572

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