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Identifying and modeling the structural discontinuities of human interactions

  • Sebastian Grauwin
    ,
  • ,
  • Stanislav Sobolevsky
    ,
  • Philipp Hövel
    ,
  • Filippo Simini
    ,
  • Maarten Vanhoof
  • Massachusetts Institute of Technology
    ,
  • Northeastern University
    ,
  • Orange Labs
Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-review

Publication Information

Output type

Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-review

Original language

Undefined/Unknown

Pages from-to (Number of pages)

Page 46677 (1 page)

Journal (Volume, Issue Number)

Scientific Reports (Volume 7)

Publication milestones

  • Published - 2017

Publication status

Published - 2017

ISSN

2045-2322

Publication IDs

  • Scopus: 85026474518

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.

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