  We investigate networks formed by keywords in tweets and study their
community structure. Based on datasets of tweets mined from over seven hundred
political figures in the U.S. and Canada, we hypothesize that such Twitter
keyword networks exhibit a small number of communities. Our results are further
reinforced by considering via so-called pseudo-tweets generated randomly and
using AI-based language generation software. We speculate as to the possible
origins of the small community hypothesis and further attempts at validating
it.
