An Interaction Profile-based Classification for Twitter Users - Archive ouverte HAL Access content directly
Conference Papers Year : 2021

An Interaction Profile-based Classification for Twitter Users

Abstract

Social networks have become a primary communication tool and are used by hundreds of millions of users daily. They bring together a wide variety of people, individuals, companies, public figures, media, influencers, etc. Users have different behaviours on social networks, such as different publication frequencies, number of followers or different user interactions. In the Twitter social network, for instance, users do not reply, quote or use mentions in the same way. Our intuition is that these interactions may characterise different user types and we consequently present in this work a non-supervised classification method based on interaction scores. We propose and experimentally compare different score estimations, leading our experiments to confirm the relevance of our approach.
Fichier principal
Vignette du fichier
dbkda_2021_1_40_50023.pdf (214.16 Ko) Télécharger le fichier
Origin : Publisher files allowed on an open archive

Dates and versions

hal-03889293 , version 1 (31-01-2023)

Identifiers

  • HAL Id : hal-03889293 , version 1

Cite

Jonathan Debure, Stephan Brunesseaux, Camelia Constantin, Cédric Du Mouza. An Interaction Profile-based Classification for Twitter Users. International Conference on Advances in Databases, Knowledge, and Data Applications (DBKDA) 2021, Mar 2021, Valence, Spain. pp.21-25. ⟨hal-03889293⟩
14 View
11 Download

Share

Gmail Facebook X LinkedIn More