The Network Structure of Unequal Diffusion
Eaman Jahani, Dean Eckles, Alex 'Sandy' Pentland

TL;DR
This paper investigates how social network structures influence unequal information diffusion, revealing that heterogeneity in cross-group links significantly impacts diffusion paths beyond what homophily alone explains.
Contribution
It introduces a novel stochastic block model that accounts for heterogeneity in cross-group links, improving estimates of homophily effects on diffusion paths.
Findings
Unequal distribution of cross-group links amplifies diffusion inequality.
Existing models underestimate heterogeneity in diffusion paths.
The new model provides more accurate estimates of homophily effects.
Abstract
Social networks affect the diffusion of information, and thus have the potential to reduce or amplify inequality in access to opportunity. We show empirically that social networks often exhibit a much larger potential for unequal diffusion across groups along paths of length 2 and 3 than expected by our random graph models. We argue that homophily alone cannot not fully explain the extent of unequal diffusion and attribute this mismatch to unequal distribution of cross-group links among the nodes. Based on this insight, we develop a variant of the stochastic block model that incorporates the heterogeneity in cross-group linking. The model provides an unbiased and consistent estimate of assortativity or homophily on paths of length 2 and provide a more accurate estimate along paths of length 3 than existing models. We characterize the null distribution of its log-likelihood ratio test…
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Taxonomy
TopicsComplex Network Analysis Techniques · Opinion Dynamics and Social Influence · Social Capital and Networks
