Title: Application of information dissemination network embedding in social media user classification and influence analysis

Authors: Jia Li; Jiangnan Li

Addresses: School of Foreign Languages and Literature, Changji University, Changji, 831100, China ' School of Foreign Languages and Literature, Changji University, Changji, 831100, China

Abstract: To analyse the spread of influence among users, a method based on information network embedding is proposed. During the process, not only was a user classification method based on heterogeneous information network embedding proposed but also a model of user influence intensity and influence propagation was constructed using information dissemination network embedding technology. The results showed that in the comparison of classification performance among different methods, the accuracy, recall, and macro F1 values of the research methods reached 0.823, 0.867, and 0.885, respectively; When the ratio of seed users to affected users is 1.6%, the research method has the highest number of affected users, up to 13.8%. At this time, the research method has a shorter time for classifying users. The above results indicate that the research method has relative superiority, high accuracy and feasibility in user classification, and can achieve low runtime and high classification accuracy.

Keywords: information dissemination; web embedding; user classification; influence analysis.

DOI: 10.1504/IJCSYSE.2024.142773

International Journal of Computational Systems Engineering, 2024 Vol.8 No.3/4, pp.238 - 247

Received: 20 Mar 2023
Accepted: 11 Jun 2023
Published online: 21 Nov 2024 *

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