Analysis of Online Social Network Connections for Identification of Influential Users: Survey and Open Research Issues

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 disseminatio...

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Published in:ACM computing surveys 2019-01, Vol.51 (1), p.1-37
Main Authors: Al-Garadi, Mohammed Ali, Varathan, Kasturi Dewi, Ravana, Sri Devi, Ahmed, Ejaz, Mujtaba, Ghulam, Khan, Muhammad Usman Shahid, Khan, Samee U.
Format: Article
Language:English
Subjects:
Algorithms
Computer science
Information dissemination
Marketing
Performance evaluation
Social networks
Studies
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creator Al-Garadi, Mohammed Ali
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Khan, Samee U.
description 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.
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source Business Source Ultimate; Association for Computing Machinery:Jisc Collections:ACM OPEN Journals 2023-2025 (reading list)
subjects Algorithms
Computer science
Information dissemination
Marketing
Performance evaluation
Social networks
Studies
title Analysis of Online Social Network Connections for Identification of Influential Users: Survey and Open Research Issues
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