Year: 2017
Type: article
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.
Source: Scientific Reports
DOI: 10.1038/srep46677
Authors: Sebastian Grauwin, Michael Szell, Stanislav Sobolevsky, Philipp Hövel, Filippo Simini, Maarten Vanhoof, Zbigniew Smoreda, Albert-László Barabási, Carlo Ratti
Institutions: Massachusetts Institute of Technology, Northeastern University, Institute for Sociology, Centre for Social Sciences, Hungarian Academy of Sciences, New York University, Humboldt-Universität zu Berlin, Bernstein Center for Computational Neuroscience Berlin, Technische Universität Berlin, Budapest University of Technology and Economics, University of Bristol, Orange (France), Brigham and Women's Hospital, Harvard University, Dana-Farber Cancer Institute
Language: English
Subfield: Transportation
Field: Social Sciences
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $2,690
OpenAlex ID: W1835928018
