Social Capital for Economic Development: Application of Time Series Cluster Analysis on Personal Network Structures

Abstract

The availability of cell phone usage data opens up possibilities for using the insights from analysis of these datasets to guide policies and in turn boost economic development. In this paper, we propose the use of time series clustering to social network attributes and metrics as a way to quantify social capital. We demonstrate how our approach can allow policymakers to use the results from clustering to identify particular groups in the population and potentially provide assistance to boost social capital levels, and in turn economic growth

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