How Homophily Affects the Speed of Learning and Best Response Dynamics

By Benjamin Golub, Matthew O. Jackson. 2012

509 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/51f7c765ce41fc876e7632a784398323ef7428bc

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In Management Science and Operations Research

In Statistical and Nonlinear Physics

Citations in the corpus

Homophily, Group Size, and the Diffusion of Political Information in Social Networks: Evidence from Twitter (2016, background): “In particular, Golub and Jackson (2012) examine how network structure, and homophily in particular, impacts the speed of learning.”
Biased assimilation, homophily, and the dynamics of polarization (2012, methodology): “Wemodel homophilous networks using a deterministic variant of multitype random networks (33).”
The Economic Consequences of Social Network Structure (2017, unknown): “…Mengel (2012)), in a field experiment on the convergence of political opinions of French students (Algan et al. (2015)) and also is seen in theoretical results on learning processes (Golub and Jackson (2012), Dandekar, Goel, and Lee (2013)) and diffusion processes (Jackson and LopezPintado (2013)).”
Social Networks, Reputation, and Commitment: Evidence From a Savings Monitors Experiment (2019, background): “See also DeMarzo et al. (2003),Golub and Jackson (2012), Golub and Jackson (2010), and Hagen and Kahng (1992). more correlated.”
The Diffusion of Microfinance (2013, unknown): “The second eigenvalue of a stochasticized adjacency matrix describing communication on the network is a measure of the extent of such segregation, as shown by Golub and Jackson (2009). To estimate the effect of these network characteristics on take up, we again take advantage of cross-village variat”
Heterogeneous peer effects in education (2014, unknown): “This precision can be based on some arbitrary assessment of the agent, or it could be an objectively defined statistics (DeMarzo et al., 2003; Golub and Jackson, 2010, 2012).”
Information Heterogeneity and the Speed of Learning in Social Networks (2013, background): “The paper most closely related to ours is the recent work of Golub and Jackson (2012b), who study the speed of convergence of the benchmark DeGroot learning model.”