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, DOI https://doi.org/10.1145/3155897.
Full text not available from this repository.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 |
|---|---|
| Funders: | University of Malaya Research Grant (subgrant (D) of RP059-17SBS) |
| 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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