The Speed of Learning, Mixing
Time and other Network Characteristics:
The effects of Homophily and Segregation Patterns
Abstract:
Homophily, the tendency of people to associate with others
of similar backgrounds and interests, is prevalent. Networks
that look otherwise similar in terms of their characteristics
but have different levels of homophily can exhibit different
properties. For example, if people communicate via word-of-mouth
then the speed at which they learn depends on the level of
homophily in a society. I will show that homophily does not
impact the average distance or diameter of a network, but
nonetheless it has a (nonlinear) effect on the speed of
learning.
Biography:
Matthew O. Jackson is the William D. Eberle Professor of
Economics at Stanford University. Jackson's research interests
include the study of social and economic networks. He has
applied game theoretic reasoning to the study of network
formation and also worked on theories of the roles of social
networks in transmitting information and influencing behavior.
He has examined how hiring through social networks affects wage
inequality and social mobility, and has recently been examining
the impact of segregation and homophily in networks. He has
also made contributions to the study of ``mechanism design and
implementation theory, including studies of the design of
institutions ranging from markets and voting systems to the
design of mutual-insurance systems in rural economies.
Jackson has received the Social Choice and Welfare Prize, a
Guggenheim Fellowship, a Fellowship from the Center for Advanced
Studies in Behavioral Sciences, the B.E.Press Arrow Prize for
Senior Economists, and has delivered the Nancy Schwartz Lecture
and the Fischer Schultz Lecture, and is a Fellow of the
Econometric Society. Professor Jackson has served on the
editorial boards of Econometrica, the Journal of Economic
Theory, the Journal of Public Economic Theory, Mathematical
Social Sciences, the Review of Economic Design, Social
Choice and Welfare, and Theoretical Economics, was
co-editor of the Econometric Society Monograph Series and is an
editor of Games and Economic Behavior. He serves on the
councils of the Econometric Society, the Game Theory Society,
and the Society for Social Choice and Welfare. He received
his BA from Princeton University in 1984 and his PhD from
Stanford University in 1988 and went on to join the faculties of
Northwestern University and the California Institute of
Technology before returning to Stanford in 2006.
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