Identifying and modeling the structural discontinuities of human interactions

Sebastian Grauwin, Michael Szell, Stanislav Sobolevsky, Philipp Hövel, Filippo Simini, Maarten Vanhoof, Zbigniew Smoreda, Albert-László Barabási, Carlo Ratti

Research output: Journal Article or Conference Article in JournalJournal articleResearchpeer-review

Abstract

The idea of a hierarchical spatial organization of society lies at the core of seminal theories in human geography that have strongly influenced our understanding of social organization. Along the same line, the recent availability of large-scale human mobility and communication data has offered novel quantitative insights hinting at a strong geographical confinement of human interactions within neighboring regions, extending to local levels within countries. However, models of human interaction largely ignore this effect. Here, we analyze several country-wide networks of telephone calls - both, mobile and landline - and in either case uncover a systematic decrease of communication induced by borders which we identify as the missing variable in state-of-the-art models. Using this empirical evidence, we propose an alternative modeling framework that naturally stylizes the damping effect of borders. We show that this new notion substantially improves the predictive power of widely used interaction models. This increases our ability to understand, model and predict social activities and to plan the development of infrastructures across multiple scales.
Original languageUndefined/Unknown
JournalScientific Reports
Volume7
Pages (from-to)46677
Number of pages1
ISSN2045-2322
DOIs
Publication statusPublished - 2017
Externally publishedYes

Keywords

  • Complex networks
  • Statistical physics

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