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Clicks and cliques: exploring the soul of the community

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Abstract

In this paper we analyze 26 communities across the United States with the objective to understand what attaches people to their community and how this attachment differs among communities. How different are attached people from unattached? What attaches people to their community? How different are the communities? What are key drivers behind emotional attachment? To address these questions, graphical, supervised and unsupervised learning tools were used and information from the Census Bureau and the Knight Foundation were combined. Using the same pre-processed variables as Knight (Soul of the community, Technical report, 2010) most likely will drive the results towards the same conclusions than the Knight foundation, so this paper does not use those variables.

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Acknowledgements

Professor Di Cook helped with the analysis and reviewing the paper. Xiaoyue Cheng’s mergeGui was used to create more amenable initial data. Israel Almodovar, Vianey Leos and Ricardo Martinez helped us with proofreading our paper for final corrections.

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Authors and Affiliations

  1. Department of Statistics, Iowa State University, Ames, USA

    Natalia da Silva & Ignacio Alvarez-Castro

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  1. Natalia da Silva
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  2. Ignacio Alvarez-Castro
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Correspondence to Natalia da Silva.

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Description of the variables created

Description of the variables created

See Table 5.

Table 5 Variables created in the paper
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da Silva, N., Alvarez-Castro, I. Clicks and cliques: exploring the soul of the community. Comput Stat 34, 1537–1563 (2019). https://doi.org/10.1007/s00180-019-00881-3

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  • DOI: https://doi.org/10.1007/s00180-019-00881-3

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