  Cities create potential for individuals from different backgrounds to
interact with one another. It is often the case, however, that urban
infrastructure obfuscates this potential, creating dense pockets of affluence
and poverty throughout a region. The spatial distribution of job opportunities,
and how it intersects with the residential landscape, is one of many such
obstacles. In this paper, we apply global and local measures of entropy to the
commuting networks of 25 US cities to capture structural diversity in
residential and work patterns. We identify significant relationships between
the heterogeneity of commuting origins and destinations with levels of
employment and residential segregation, respectively. Finally, by comparing the
local entropy values of low and high-income networks, we highlight how
disparities in entropy are indicative of both employment segregation and
residential inhomogeneities. Ultimately, this work motivates the application of
network entropy to understand segregation not just from a residential
perspective, but an experiential one as well.
