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Friendship networks and social status

Published online by Cambridge University Press:  15 April 2013

BRIAN BALL  and
M.E.J. NEWMAN
BRIAN BALL
Affiliation:
Department of Physics, University of Michigan, Ann Arbor, MI 48109, USA (e-mail: briball@umich.edu)
M.E.J. NEWMAN
Affiliation:
Department of Physics and Center for the Study of Complex Systems, University of Michigan, Ann Arbor, MI 48109, USA (e-mail: mejn@umich.edu)
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Abstract

In empirical studies of friendship networks, participants are typically asked, in interviews or questionnaires, to identify some or all of their close friends, resulting in a directed network in which friendships can, and often do, run in only one direction between a pair of individuals. Here we analyze a large collection of such networks representing friendships among students at US high and junior-high schools and show that the pattern of unreciprocated friendships is far from random. In every network, without exception, we find that there exists a ranking of participants, from low to high, such that almost all unreciprocated friendships consist of a lower ranked individual claiming friendship with a higher ranked one. We present a maximum-likelihood method for deducing such rankings from observed network data and conjecture that the rankings produced reflect a measure of social status. We note in particular that reciprocated and unreciprocated friendships obey different statistics, suggesting different formation processes, and that rankings are correlated with other characteristics of the participants that are traditionally associated with status, such as age and overall popularity as measured by total number of friends.

Keywords

friendship networkssocial statusmaximum likelihoodstochastic blockmodel

Information

Type
Research Article
Information
Network Science , Volume 1 , Issue 1 , April 2013 , pp. 16 - 30
Copyright
Copyright © Cambridge University Press 2013

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