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Mitchell centre seminar series

Dates:3 April 2019
Times:16:00 - 17:30
What is it:Seminar
Organiser:School of Social Sciences
Speaker:Alex Stivala
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Alex Stivala, Swinburne University of Technology

ERGM parameter estimation of very large directed networks: implementation, example, and application to the geography of knowledge spillovers

The recently published Equilibrium Expectation (EE) algorithm for exponential random graph model (ERGM) parameter estimation has allowed such models to be estimated for networks far larger than previously possible. Here we demonstrate the extension of this algorithm to directed networks, with an implementation that overcomes some technical problems limiting the sizes of networks that could be practically estimated. We apply this method to estimate ERGM parameters for an online social network with approximately 1.6 million nodes, and a patent citation network with approximately 3.8 million nodes. The latter model allows us to test the geographic knowledge spillover hypothesis (that knowledge spillovers are geographically localized) using patent citation data, without having to treat the patent citation network as exogenous.

Speaker

Alex Stivala

Organisation: Swinburne University of Technology

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Humanities Bridgeford Street
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Dominika Czerniawska

dominika.czerniawska-szejda@manchester.ac.uk

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