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Evidence That Calls-Based and Mobility Networks Are Isomorphic

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  • Coscia, Michele
  • Hausmann, Ricardo

Abstract

Social relations involve both face-to-face interaction as well as telecommunications. We can observe the geography of phone calls and of the mobility of cell phones in space. These two phenomena can be described as networks of connections between different points in space. We use a dataset that includes billions of phone calls made in Colombia during a six-month period. We draw the two networks and find that the call-based network resembles a higher order aggregation of the mobility network and that both are isomorphic except for a higher spatial decay coefficient of the mobility network relative to the call-based network: when we discount distance effects on the call connections with the same decay observed for mobility connections, the two networks are virtually indistinguishable.

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  • Coscia, Michele & Hausmann, Ricardo, 2015. "Evidence That Calls-Based and Mobility Networks Are Isomorphic," Scholarly Articles 24984035, Harvard Kennedy School of Government.
  • Handle: RePEc:hrv:hksfac:24984035
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    Cited by:

    1. Michele Coscia & Timothy Cheston & Ricardo Hausmann, 2017. "Institutions vs. Social Interactions in Driving Economic Convergence: Evidence from Colombia," CID Working Papers 331, Center for International Development at Harvard University.
    2. Ruth Hamilton & Alasdair Rae, 2020. "Regions from the ground up: a network partitioning approach to regional delineation," Environment and Planning B, , vol. 47(5), pages 775-789, June.
    3. Michele Coscia, 2018. "Using arborescences to estimate hierarchicalness in directed complex networks," PLOS ONE, Public Library of Science, vol. 13(1), pages 1-18, January.
    4. Madeleine I. G. Daepp, 2022. "Small-area moving ratios and the spatial connectivity of neighborhoods: Insights from consumer credit data," Environment and Planning B, , vol. 49(3), pages 1129-1146, March.
    5. Rishav Raj Agarwal & Chia-Ching Lin & Kuan-Ta Chen & Vivek Kumar Singh, 2018. "Predicting financial trouble using call data—On social capital, phone logs, and financial trouble," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-17, February.

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