att_abstract={{Human dynamics are inextricably intertwined with
the social, geographical and economic environment. The continuous
flux of people communicating as well as migrating,
commuting, and traveling inevitably spans acquaintances across
geographic space that is far from random and exhibits regular
patterns. For instance, it has been shown that the probability of
being acquainted with someone is closely related to the inverse
distance between them. In this paper we investigate aggregated
mobile phone call detail records from a large US cellular operator
and map them into space to characterize the social radius of
influence at two different scales: communication and mobility.
We discover that scaling properties with respect to population
agglomeration are similar to those discovered for other indicators
of cities. We also discover spatial community structures that
are divorced from administrative boundaries, and use them to
quantify the different social radii of influence discovered from
the data.}},
	att_authors={ag1971, dp2971, jr6321, cr2851},
	att_categories={C_NSS.18, A_ST.2},
	att_copyright_notice={{This version of the work is reprinted here with permission of IEEE for your personal use. Not for redistribution. The definitive version was published in in Proc. of IEEE International Conference on Social Computing (SocialCom). {{, 2011-10-09}}
	att_tags={cellular networks,  communities of interest},
	author={Francesco Calabrese and Dominik Dahlem and Alexandre Gerber and Deirdre Paul and Xiaoji Chen and James Rowland and Christopher Rath and Carlo Ratti},
	institution={{in Proc. of IEEE International Conference on Social Computing (SocialCom)}},
	title={{The Connected States of America: Quantifying Social Radii of Influence}},