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Deutsche Physikalische Gessellschaft IOP Institute of Physics

Analysis of a large-scale weighted network of one-to-one human communication

Focus on Complex Networked Systems: Theory and Application

Jukka-Pekka Onnela1,2, Jari Saramäki1, Jörkki Hyvönen1, Gábor Szabó3,4, M Argollo de Menezes3, Kimmo Kaski1, Albert-László Barabási3,4 and János Kertész1,5

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Part of Focus on Complex Networked Systems: Theory and Application

We construct a connected network of 3.9 million nodes from mobile phone call records, which can be regarded as a proxy for the underlying human communication network at the societal level. We assign two weights on each edge to reflect the strength of social interaction, which are the aggregate call duration and the cumulative number of calls placed between the individuals over a period of 18 weeks. We present a detailed analysis of this weighted network by examining its degree, strength, and weight distributions, as well as its topological assortativity and weighted assortativity, clustering and weighted clustering, together with correlations between these quantities. We give an account of motif intensity and coherence distributions and compare them to a randomized reference system. We also use the concept of link overlap to measure the number of common neighbours any two adjacent nodes have, which serves as a useful local measure for identifying the interconnectedness of communities. We report a positive correlation between the overlap and weight of a link, thus providing strong quantitative evidence for the weak ties hypothesis, a central concept in social network analysis. The percolation properties of the network are found to depend on the type and order of removed links, and they can help understand how the local structure of the network manifests itself at the global level. We hope that our results will contribute to modelling weighted large-scale social networks, and believe that the systematic approach followed here can be adopted to study other weighted networks.


PACS

89.65.-s Social and economic systems

Subjects

Statistical physics and nonlinear systems

Dates

Issue 6 (June 2007)

Received 13 February 2007

Published 28 June 2007



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