  In the 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 (2010) most likely will drive
the results towards the same conclusions than the Knight foundation, so this
paper does not use those variables.
