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Social Network Analysis and Mining

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01-12-2023 | Original Article

Exploring the attributes of influential users in social networks using association rule mining

Author: Mohammed Alghobiri

Published in: Social Network Analysis and Mining | Issue 1/2023

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Abstract

The article delves into the importance of social media marketing and the significance of identifying influential users within social networks. It introduces association rule mining (ARM) as a method to uncover the attributes of influential users, focusing on Reddit data. The study presents a detailed methodology for data gathering, preprocessing, and applying ARM to extract meaningful rules. The results highlight the characteristics of influential users across different age groups and their commenting patterns. Furthermore, the analysis reveals the top-3 discussed topics for each age group, providing valuable insights into user behavior and preferences. The study concludes by emphasizing the potential for future research to incorporate centrality models and expand the analysis across various social networks.

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Title: Exploring the attributes of influential users in social networks using association rule mining
Author: Mohammed Alghobiri
Publication date: 01-12-2023
Publisher: Springer Vienna
Published in: Social Network Analysis and Mining / Issue 1/2023
Print ISSN: 1869-5450
Electronic ISSN: 1869-5469
DOI: https://doi.org/10.1007/s13278-023-01118-4

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Exploring the attributes of influential users in social networks using association rule mining

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