1. Identifying and modeling the structural discontinuities of human interactions
- Author
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Sebastian Grauwin, Philipp Hövel, Albert-László Barabási, Carlo Ratti, Stanislav Sobolevsky, Maarten Vanhoof, Michael Szell, Filippo Simini, Zbigniew Smoreda, Massachusetts Institute of Technology. Department of Urban Studies and Planning, Massachusetts Institute of Technology. Media Laboratory, Grauwin, Sebastian, Szell, Michael, Sobolevsky, Stanislav, and Ratti, Carlo
- Subjects
0301 basic medicine ,Multidisciplinary ,Geography ,Computer science ,Communication ,Population Dynamics ,0211 other engineering and technologies ,021107 urban & regional planning ,02 engineering and technology ,Classification of discontinuities ,Models, Theoretical ,Data science ,Article ,Telephone ,03 medical and health sciences ,Variable (computer science) ,030104 developmental biology ,Human geography ,Humans ,Social organization ,Empirical evidence ,Social Behavior ,Spatial organization ,Algorithms - 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., Deutscher Akademischer Austauschdienst (postdoctoral fellowship), European Commission. Future and Emerging Technologies-Open Project DATASIM (FP7-ICT-270833)
- Published
- 2016
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