TY - GEN
T1 - Interest assortativity in Twitter
AU - Buccafurri, Francesco
AU - Lax, Gianluca
AU - Nicolazzo, Serena
AU - Nocera, Antonino
N1 - Publisher Copyright:
Copyright © 2016 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.
PY - 2016
Y1 - 2016
N2 - 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.
AB - 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.
KW - Assortativity
KW - Social network analysis
KW - Twitter
UR - https://www.scopus.com/pages/publications/84979740726
U2 - 10.5220/0005790602390246
DO - 10.5220/0005790602390246
M3 - Conference contribution
AN - SCOPUS:84979740726
T3 - WEBIST 2016 - Proceedings of the 12th International Conference on Web Information Systems and Technologies
SP - 239
EP - 246
BT - WEBIST 2016 - Proceedings of the 12th International Conference on Web Information Systems and Technologies
A2 - Majchrzak, Tim A.
A2 - Traverso, Paolo
A2 - Monfort, Valerie
A2 - Krempels, Karl-Heinz
PB - SciTePress
T2 - 12th International Conference on Web Information Systems and Technologies, WEBIST 2016
Y2 - 23 April 2016 through 25 April 2016
ER -