Network Diversity and Economic Development

By Nathan Eagle, Michael Macy, R. Claxton. Science, 2010

770 citations recorded by the source corpus.

Subfields: Sociology and Political Science, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/af1abcaaa1736605f2aca4dcbd09984902f4edf6

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Citations in the corpus

Digital Footprints: Opportunities and Challenges for Online Social Research (2014, background): “For example, Eagle et al. (2010) used national telephone logs among 65 million subscribers (about 90% of the population) to show that diversity in the networks of the members of a community was positively related to economic development, confirming the offline network results reported by…”
Measuring Large-Scale Social Networks with High Resolution (2014, background): “The ability to efficiently map communication networks and mobility patterns (using cell towers) for large populations has made it possible to quantify human mobility patterns, including investigations of social structure evolution [166], economic development [67], human mobility [37,38], spreading p”
The scaling of human interactions with city size (2012, methodology): “Subsequently, in order to reduce a potential bias induced by business hubs, we followed the data-filtering procedure used in [49].”
Social network analysis: foundations and frontiers on advantage. (2013, neutral): “The three broad clusters then would be geographic regions in which individual cities are variably linked as satellites around three hub cities (e.g., Eagle et al. 2010).”
A multi-source dataset of urban life in the city of Milan and the Province of Trentino (2015, background): “…interactions 6,7 , estimates population densities 8,9 , models cities structures 10 , predicts socio-economic indicators and outcomes of territories 11 – 13 , and models the spread of diseases 10,14 – 17 (See Blondel et al. 18 for a comprehensive review of recent advances in studies using mobile…”
Spatial Science and Network Science: Review and Outcomes of a Complex Relationship (2014, background): “…between centrality and local development was also verified through cross-disciplinary work including sociology using more advanced tools, such as Eagle et al. (2010) demonstrating the strong interdependency between the diversity of connections and the economic well-being of localities in the UK…”
Models of Social Influence: Towards the Next Frontiers (2017, background): “For example, structural features of social networks in a population at large can be assessed from increasingly available data sets of online networks (Eagle et al. 2010) or global network indicators measured in surveys (DiPrete et al. 2011).”
Quantifying China's Regional Economic Complexity (2017, background): “economic development are long-standing challenges in economics [1,2], which have far-reaching implications to practical”
The Anatomy of the Facebook Social Graph (2011, background): “The trend within this line of research is to measure larger and larger representations of social networks, including networks derived from email [12], telephony [13], and instant messaging [14] traces.”
Once Upon a Crime: Towards Crime Prediction from Demographics and Mobile Data (2014, methodology): “…of diﬀerent facets of human behavior and, in particular, the concept of entropy has been applied to assess the predictability of mobility [35] and spending patterns [22, 33], the socio-economic characteristics of places and cities [15] and some individual traits such as personality [13].”
Revealing daily travel patterns and city structure with taxi trip data (2013, methodology): “We thus adopt the Infomap method (Rosvall and Bergstrom 2008), which is able to handle the weighted and directed networks and performs stably and fast (Fortunato 2010), to detect communities from 𝑁𝑠.”