Ranking Users in the Social Network: A Survey of Budget and Opinion dependent Methods

Social networks have become a popular abstraction for capturing individual user interactions in various everyday activities and applications. As a corollary, network analysis has gained a considerable attention in the scientific community. Identifying influential users for a website is one of the su...

Full description

Saved in:
Bibliographic Details
Published in2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS) pp. 1055 - 1060
Main Authors Tomar, Akshit, Dhiman, Aman, Midha, Abhishek
Format Conference Proceeding
LanguageEnglish
Published IEEE 07.04.2022
Subjects
Budget Dependent
Data communication
Influence Maximisation
Network analyzers
Opinion dependent
Social networking (online)
Social Networks
Systematics
Taxonomy
Trust dependent
Online AccessGet full text
DOI10.1109/ICSCDS53736.2022.9760915

Cover

More Information
Summary:Social networks have become a popular abstraction for capturing individual user interactions in various everyday activities and applications. As a corollary, network analysis has gained a considerable attention in the scientific community. Identifying influential users for a website is one of the subjects of interest. A variety of uses, including message distribution, viral marketing, or preventing the spread of rumours. Several options have been suggested. To determine the influence of users and to discover groups of prominent people in social media networks. Although several surveys have examined ways based on social network, structural aspects, there has been no systematic examination of approaches that consider user behaviour. This study intends to fill the gaps by evaluating and proposing a taxonomy of such behaviour-cognizant approaches for identifying prominent members in social networks.
DOI:10.1109/ICSCDS53736.2022.9760915