title: Spatial fingerprints of community structure in human interaction network for an extensive set of large-scale regions.
abstract: Human interaction networks inferred from country-wide telephone activity recordings were recently used to redraw political maps by projecting their topological partitions into geographical space. The results showed remarkable spatial cohesiveness of the network communities and a significant overlap between the redrawn and the administrative borders. Here we present a similar analysis based on one of the most popular online social networks represented by the ties between more than 5.8 million of its geo-located users. The worldwide coverage of their measured activity allowed us to analyze the large-scale regional subgraphs of entire continents and an extensive set of examples for single countries. We present results for North and South America, Europe and Asia. In our analysis we used the well-established method of modularity clustering after an aggregation of the individual links into a weighted graph connecting equal-area geographical pixels. Our results show fingerprints of both of the opposing forces of dividing local conflicts and of uniting cross-cultural trends of globalization.
authors.affiliation: Department of Physics of Complex Systems, Faculty of Science, Eötvös Loránd University, Budapest, Hungary.
authors.forename: Zsófia
authors.initials: Z
authors.lastname: Kallus
authors.affiliation: Department of Physics of Complex Systems, Faculty of Science, Eötvös Loránd University, Budapest, Hungary.
authors.forename: Norbert
authors.initials: N
authors.lastname: Barankai
authors.affiliation: Department of Physics of Complex Systems, Faculty of Science, Eötvös Loránd University, Budapest, Hungary.
authors.forename: János
authors.initials: J
authors.lastname: Szüle
authors.affiliation: Department of Physics of Complex Systems, Faculty of Science, Eötvös Loránd University, Budapest, Hungary.
authors.forename: Gábor
authors.initials: G
authors.lastname: Vattay
mesh_terms: D001208:Asia; D016000:Cluster Analysis; D005060:Europe; D005843:Geography; D006801:Humans; D009656:North America; D012111:Residence Characteristics; D060756:Social Networking; D013020:South America