TY - JOUR
T1 - Identifying and modeling the structural discontinuities of human interactions
AU - Grauwin, Sebastian
AU - Szell, Michael
AU - Sobolevsky, Stanislav
AU - Hövel, Philipp
AU - Simini, Filippo
AU - Vanhoof, Maarten
AU - Smoreda, Zbigniew
AU - Barabási, Albert László
AU - Ratti, Carlo
N1 - Publisher Copyright:
© The Author(s) 2017.
PY - 2017
Y1 - 2017
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85026474518&partnerID=8YFLogxK
U2 - 10.1038/srep46677
DO - 10.1038/srep46677
M3 - Article
C2 - 28443647
AN - SCOPUS:85026474518
SN - 2045-2322
VL - 7
JO - Scientific Reports
JF - Scientific Reports
M1 - 46677
ER -