Clicks and cliques: exploring the soul of the community

Natalia da Silva () and Ignacio Alvarez-Castro ()
Additional contact information
Natalia da Silva: Iowa State University
Ignacio Alvarez-Castro: Iowa State University

Computational Statistics, 2019, vol. 34, issue 4, No 6, 1537-1563

Abstract: 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 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://link.springer.com/10.1007/s00180-019-00881-3 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:compst:v:34:y:2019:i:4:d:10.1007_s00180-019-00881-3

Ordering information: This journal article can be ordered from
http://www.springer.com/statistics/journal/180/PS2

DOI: 10.1007/s00180-019-00881-3

Access Statistics for this article

Computational Statistics is currently edited by Wataru Sakamoto, Ricardo Cao and Jürgen Symanzik

More articles in Computational Statistics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().