Data di Pubblicazione:
2017
Citazione:
Temporal communication motifs in mobile cohesive groups / M. Zignani, C. Quadri, M. Del Vicario, S. Gaito, G..P. Rossi (STUDIES IN COMPUTATIONAL INTELLIGENCE). - In: Complex networks & their applicationsNew York : Springer, 2017. - ISBN 9783319721491. - pp. 490-501 (( Intervento presentato al 6. convegno International Conference on Complex Networks and Their Applications, Complex Networks tenutosi a Lyon nel 2017 [10.1007/978-3-319-72150-7_40].
Abstract:
In this paper we focus on cohesive social groups that communicate and establish relationships by mobile phone. Through a methodology which identifies cohesive groups and extracts their temporal motifs, we show how the members of social groups interact by means of calls and text messages. Our analysis rests on an anonymized mobile phone dataset, which is based on Call Detail Records (CDRs). This dataset integrates the usual voice call data with the text messages sent by one million mobile subscribers in the metropolitan area of Milan over the span of 67 days. The findings of our study concern both the structural characterization of cohesive groups and the temporal patterns emerging from the interactions among their members. Structurally, cohesive groups are small and people comprise them in ways similar to other social networks or instant messaging services. Temporally, we observe that communication patterns between pairs of group members are predominant, especially for text message communications, where the nature of the medium tends to lead toward "blocking" interactions. Finally, if members participate in more complex communication patterns, text messages make the diffusion of common information easier.
Tipologia IRIS:
03 - Contributo in volume
Keywords:
Artificial Intelligence
Elenco autori:
M. Zignani, C. Quadri, M. Del Vicario, S. Gaito, G..P. Rossi
Link alla scheda completa:
Titolo del libro:
Complex networks & their applications