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Extending Generative Models of Large Scale Networks
2015
Procedia Manufacturing
Since the launch of Facebook in 2004 and Twitter in 2006, the amount of publicly available social network data has grown in both scale and complexity. This growth presents significant challenges to conventional network analysis methods that rely primarily on structure. In this paper, we describe a generative model that extends structure-based connection preference methods to include preferences based on agent similarity or homophily. We also discuss novel methods for extracting model parameters
doi:10.1016/j.promfg.2015.07.896
fatcat:k7jgkcj2rvfr7px7o32btqmogq