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Quad Census Computation: Simple, Efficient, and Orbit-Aware Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Social Ties as Predictors of Economic Development

Authors : Buster O. Holzbauer, Boleslaw K. Szymanski, Tommy Nguyen, Alex Pentland

Published in: Advances in Network Science

Publisher: Springer International Publishing

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Abstract

A social network is not only a system of connections or relationships, but pathways along which ideas from various communities may flow. Here we show that the economic development of U.S. states may be predicted by using quantitative measures of their social tie network structure derived from location-based social media. We find that long ties, defined here as ties between people in different states, are strongly correlated with economic development in the US states from 2009–2012 in terms of GDP, patents, and number of startups. In contrast, within-state ties are much less predictive of economic development. Our results suggest that such long ties support innovation by enabling more effective idea flow.

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previous chapter A Comparison of Fundamental Network Formation Principles Between Offline and Online Friends on Twitter
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Metadata
Title
Social Ties as Predictors of Economic Development
Authors
Buster O. Holzbauer
Boleslaw K. Szymanski
Tommy Nguyen
Alex Pentland
Copyright Year
2016
Book
Advances in Network Science

Print ISBN: 978-3-319-28360-9

Electronic ISBN: 978-3-319-28361-6

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-28361-6_15

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