Quantifying social vs. antisocial behavior in email networks

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dc.creatorGomes, Luiz H.
dc.creatorBettencourt, Luis M. A.
dc.creatorAlmeida, Virgilio A. F.
dc.creatorAlmeida, Jussara M.
dc.creatorCastro, Fernando D. O.
dc.date2006-01-19
dc.date2006-11-27
dc.date.accessioned2026-07-07T06:59:55Z
dc.date.available2026-07-07T06:59:55Z
dc.descriptionEmail graphs have been used to illustrate general properties of social networks of communication and collaboration. However, increasingly, the majority of email traffic reflects opportunistic, rather than symbiotic social relations. Here we use e-mail data drawn from a large university to construct directed graphs of email exchange that quantify the differences between social and antisocial behaviors in networks of communication. We show that while structural characteristics typical of other social networks are shared to a large extent by the legitimate component they are not characteristic of antisocial traffic. Interestingly, opportunistic patterns of behavior do create nontrivial graphs with certain general characteristics that we identify. To complement the graph analysis, which suffers from incomplete knowledge of users external to the domain, we study temporal patterns of communication to show that the dynamical properties of email traffic can, in principle, distinguish different types of social relations.
dc.description8 pages and 10 figures
dc.identifierhttps://arxiv.org/abs/physics/0601141
dc.identifierhttp://arxiv.org/abs/physics/0601141
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/107917
dc.subjectPhysics and Society
dc.titleQuantifying social vs. antisocial behavior in email networks
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