User analytics in online social networks: evolving from social instances to social individuals

Razis, G., Georgilas, S., Haralabopoulos, G. ORCID: https://orcid.org/0000-0002-2142-4975 and Anagnostopoulos, I. (2022) User analytics in online social networks: evolving from social instances to social individuals. Computers, 11 (10). 149. ISSN 2073-431X doi: 10.3390/computers11100149

Abstract/Summary

In our era of big data and information overload, content consumers utilise a variety of sources to meet their data and informational needs for the purpose of acquiring an in-depth perspective on a subject, as each source is focused on specific aspects. The same principle applies to the online social networks (OSNs), as usually, the end-users maintain accounts in multiple OSNs so as to acquire a complete social networking experience, since each OSN has a different philosophy in terms of its services, content, and interaction. Contrary to the current literature, we examine the users’ behavioural and disseminated content patterns under the assumption that accounts maintained by users in multiple OSNs are not regarded as distinct accounts, but rather as the same individual with multiple social instances. Our social analysis, enriched with information about the users’ social influences, revealed behavioural patterns depending on the examined OSN, its social entities, and the users’ exerted influence. Finally, we ranked the examined OSNs based on three types of social characteristics, revealing correlations between the users’ behavioural and content patterns, social influences, social entities, and the OSNs themselves.

Item Type	Article
URI	https://reading-clone.eprints-hosting.org/id/eprint/110966
Identification Number/DOI	10.3390/computers11100149
Refereed	Yes
Divisions	Henley Business School > Digitalisation, Marketing and Entrepreneurship
Publisher	MDPI
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