Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/340067
Type: Artigo
Title: Topical alignment in online social systems
Author: Maciel Cardoso, Felipe
Meloni, Sandro
Santanche, Andre
Moreno, Yamir
Abstract: Understanding the dynamics of social interactions is crucial to comprehend human behavior. The emergence of online social media has enabled access to data regarding people relationships at a large scale. Twitter, specifically, is an information oriented network, with users sharing and consuming information. In this work, we study whether users tend to be in contact with people interested in similar topics, i.e., if they are topically aligned. To do so, we propose an approach based on the use of hashtags to extract information topics from Twitter messages and model users' interests. Our results show that, on average, users are connected with other users similar to them. Furthermore, we show that topical alignment provides interesting information that can eventually allow inferring users' connectivity. Our work, besides providing a way to assess the topical similarity of users, quantifies topical alignment among individuals, contributing to a better understanding of how complex social systems are structured.
Subject: Redes sociais - Análise
Country: Suíça
Editor: Frontiers Media
Rights: Aberto
Identifier DOI: 10.3389/fphy.2019.00058
Address: https://www.frontiersin.org/articles/10.3389/fphy.2019.00058/full
Date Issue: 2019
Appears in Collections:IC - Artigos e Outros Documentos

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