TY - JOUR
T1 - Redrawing the map of Great Britain from a network of human interactions
AU - Ratti, Carlo
AU - Sobolevsky, Stanislav
AU - Calabrese, Francesco
AU - Andris, Clio
AU - Reades, Jonathan
AU - Martino, Mauro
AU - Claxton, Rob
AU - Strogatz, Steven H.
N1 - Funding Information:
The authors thank the BT Group, the National Science Foundation, the AT&T Foundation, the National Defense Science and Engineering Fellowship Program, the MIT SMART program, GE, Audi Volkswagen, SNCF, ENEL and the members of the MIT Senseable City Lab Consortium for supporting the research. Janet Owers provided expert editorial guidance.
PY - 2010
Y1 - 2010
N2 - Do regional boundaries defined by governments respect the more natural ways that people interact across space? This paper proposes a novel, fine-grained approach to regional delineation, based on analyzing networks of billions of individual human transactions. Given a geographical area and some measure of the strength of links between its inhabitants, we show how to partition the area into smaller, non-overlapping regions while minimizing the disruption to each person's links. We tested our method on the largest non-Internet human network, inferred from a large telecommunications database in Great Britain. Our partitioning algorithm yields geographically cohesive regions that correspond remarkably well with administrative regions, while unveiling unexpected spatial structures that had previously only been hypothesized in the literature. We also quantify the effects of partitioning, showing for instance that the effects of a possible secession of Wales from Great Britain would be twice as disruptive for the human network than that of Scotland.
AB - Do regional boundaries defined by governments respect the more natural ways that people interact across space? This paper proposes a novel, fine-grained approach to regional delineation, based on analyzing networks of billions of individual human transactions. Given a geographical area and some measure of the strength of links between its inhabitants, we show how to partition the area into smaller, non-overlapping regions while minimizing the disruption to each person's links. We tested our method on the largest non-Internet human network, inferred from a large telecommunications database in Great Britain. Our partitioning algorithm yields geographically cohesive regions that correspond remarkably well with administrative regions, while unveiling unexpected spatial structures that had previously only been hypothesized in the literature. We also quantify the effects of partitioning, showing for instance that the effects of a possible secession of Wales from Great Britain would be twice as disruptive for the human network than that of Scotland.
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U2 - 10.1371/journal.pone.0014248
DO - 10.1371/journal.pone.0014248
M3 - Article
C2 - 21170390
AN - SCOPUS:78650220023
SN - 1932-6203
VL - 5
JO - PloS one
JF - PloS one
IS - 12
M1 - e14248
ER -