activity
19992014
most citedDetecting communities in large networks

333 citations · 1k across the 19 of their papers we have counts for

collaborators

19 papers

physics.soc-ph2014★ 31 cited

Degree correlations in signed social networks

Valerio Ciotti, Ginestra Bianconi, Andrea Capocci +2

We investigate degree correlations in two online social networks where users are connected through different types of links. We find that, while subnetworks in which links have a p…

physics.soc-ph2012★ 4 cited

Statistical Properties of Inter-arrival Times Distribution in Social Tagging Systems

Andrea Capocci, Andrea Baldassarri, Vito D. P. Servedio +1

Folksonomies provide a rich source of data to study social patterns taking place on the World Wide Web. Here we study the temporal patterns of users' tagging activity. We show that…

physics.soc-ph2008

A Self-organized model for network evolution

Guido Caldarelli, Andrea Capocci, Diego Garlaschelli

Here we provide a detailed analysis, along with some extensions and additonal investigations, of a recently proposed self-organised model for the evolution of complex networks. Ver…

physics.soc-ph2007★ 25 cited

Taxonomy and clustering in collaborative systems: the case of the on-line encyclopedia Wikipedia

A. Capocci, F. Rao, G. Caldarelli

In this paper we investigate the nature and structure of the relation between imposed classifications and real clustering in a particular case of a scale-free network given by the…

physics.soc-ph2007★ 40 cited

Folksonomies and clustering in the collaborative system CiteULike

Andrea Capocci, Guido Caldarelli

We analyze CiteULike, an online collaborative tagging system where users bookmark and annotate scientific papers. Such a system can be naturally represented as a tripartite graph w…

physics.soc-ph2006★ 327 cited

Preferential attachment in the growth of social networks: the case of Wikipedia

A. Capocci, V. D. P. Servedio, F. Colaiori +4

We present an analysis of the statistical properties and growth of the free on-line encyclopedia Wikipedia. By describing topics by vertices and hyperlinks between them as edges, w…