The anatomy of urban social networks and its implications in the searchability problem View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2015-09

AUTHORS

C Herrera-Yagüe, C M Schneider, T Couronné, Z Smoreda, R M Benito, P J Zufiria, M C González

ABSTRACT

The appearance of large geolocated communication datasets has recently increased our understanding of how social networks relate to their physical space. However, many recurrently reported properties, such as the spatial clustering of network communities, have not yet been systematically tested at different scales. In this work we analyze the social network structure of over 25 million phone users from three countries at three different scales: country, provinces and cities. We consistently find that this last urban scenario presents significant differences to common knowledge about social networks. First, the emergence of a giant component in the network seems to be controlled by whether or not the network spans over the entire urban border, almost independently of the population or geographic extension of the city. Second, urban communities are much less geographically clustered than expected. These two findings shed new light on the widely-studied searchability in self-organized networks. By exhaustive simulation of decentralized search strategies we conclude that urban networks are searchable not through geographical proximity as their country-wide counterparts, but through an homophily-driven community structure. More... »

PAGES

10265

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/srep10265

DOI

http://dx.doi.org/10.1038/srep10265

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1015541864

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/26035529


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N-Triples is a line-based linked data format ideal for batch operations.

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Turtle is a human-readable linked data format.

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RDF/XML is a standard XML format for linked data.

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