loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Francesco Buccafurri ; Gianluca Lax ; Serena Nicolazzo and Antonino Nocera

Affiliation: University Mediterranea of Reggio Calabria, Italy

Keyword(s): Assortativity, Social Network Analysis, Twitter.

Related Ontology Subjects/Areas/Topics: Enterprise Information Systems ; Social Networks and Organizational Culture ; Society, e-Business and e-Government ; Software Agents and Internet Computing ; Web 2.0 and Social Networking Controls ; Web Information Systems and Technologies

Abstract: Assortativity is the preference for a person to relate to others who are someway similar. This property has been widely studied in real-life social networks in the past and, more recently, great attention is devoted to study various forms of assortativity also in online social networks, being aware that it does not suffice to apply past scientific results obtained in the domain of real-life social networks. One of the aspects not yet analyzed in online social networks is interest assortativity, that is the preference for people to share the same interest (e.g., sport, music) with their friends. In this paper, we study this form of assortativity on Twitter, one of the most popular online social networks. After the introduction of the background theoretical model, we analyze Twitter, discovering that users clearly show interest assortativity. Beside the theoretical assessment, our result leads to identify a number of interesting possible applications.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.81.144.39

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Buccafurri, F.; Lax, G.; Nicolazzo, S. and Nocera, A. (2016). Interest Assortativity in Twitter. In Proceedings of the 12th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST; ISBN 978-989-758-186-1; ISSN 2184-3252, SciTePress, pages 239-246. DOI: 10.5220/0005790602390246

@conference{webist16,
author={Francesco Buccafurri. and Gianluca Lax. and Serena Nicolazzo. and Antonino Nocera.},
title={Interest Assortativity in Twitter},
booktitle={Proceedings of the 12th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST},
year={2016},
pages={239-246},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005790602390246},
isbn={978-989-758-186-1},
issn={2184-3252},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST
TI - Interest Assortativity in Twitter
SN - 978-989-758-186-1
IS - 2184-3252
AU - Buccafurri, F.
AU - Lax, G.
AU - Nicolazzo, S.
AU - Nocera, A.
PY - 2016
SP - 239
EP - 246
DO - 10.5220/0005790602390246
PB - SciTePress