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Investigating social network structures and interests on X audio spaces

Darwish, Roba, Abdelmoty, Alia ORCID: https://orcid.org/0000-0003-2031-4413 and Turner, Liam ORCID: https://orcid.org/0000-0003-4877-5289 2025. Investigating social network structures and interests on X audio spaces. Presented at: 13th International Conference on Complex Networks and their Applications, Istanbul, Turkey, 10-12 Dec 2024. Published in: Cherifi, Hocine, Donduran, Murat, Rocha, Luis M., Cherifi, Chantal and Varol, Onur eds. Complex Networks & Their Applications XIII. Studies in Computational Intelligence (1187) Springer,
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Abstract

The paper explores the duality of user engagement on prominent social media platforms, analysing interactions among 834 users across audio-based and text-based modalities. By employing social network analysis, it investigates how user interests align differently in real-time, audio interactions versus traditional, text-based discussions. Our findings reveal that social networks built from X Spaces activity data exhibit characteristics of a broad-scale network, as commonly seen in other types of online social networks. The results also reveal that audio-based environments foster focused conversations among users with shared interests, exhibiting high topic similarity. In contrast, text-based interactions encompass a broader diversity of topics, with a weak correlation between the discussions in both modes, reflecting the varied interests of users. This research underscores the complex dynamics of digital communication and enhances our understanding of how distinct communication forms impact user behaviour and social interactions.

Item Type: Conference or Workshop Item (Paper)
Date Type: Publication
Status: In Press
Schools: Computer Science & Informatics
Subjects: H Social Sciences > H Social Sciences (General)
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > T Technology (General)
Publisher: Springer
ISBN: 9783031824265
ISSN: 1860-949X
Date of First Compliant Deposit: 7 November 2024
Date of Acceptance: 4 October 2024
Last Modified: 04 Feb 2025 15:00
URI: https://orca.cardiff.ac.uk/id/eprint/173740

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