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Computational Statistics

, Volume 34, Issue 4, pp 1537–1563 | Cite as

Clicks and cliques: exploring the soul of the community

  • Natalia da SilvaEmail author
  • Ignacio Alvarez-Castro
Original paper

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.

Keywords

Community attachment Exploratory data analysis Random forests Statistical visualization Mosaic plot Product plot 

Notes

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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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of StatisticsIowa State UniversityAmesUSA

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