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Reply to “Comment on Geodesic Cycle Length Distributions in Delusional and Other Social Networks”

Authors
  • Stivala, Alex1
  • 1 Università della Svizzera italiana, Lugano , (Switzerland)
Type
Published Article
Journal
Journal of Social Structure
Publisher
Exeley Inc.
Publication Date
Jan 01, 2020
Volume
21
Issue
1
Pages
94–106
Identifiers
DOI: 10.21307/joss-2020-004
Source
Exeley
Keywords
License
Green

Abstract

Martin (2020) describes a misinterpretation of exponential random graph (ERGM) parameters in my contribution (Stivala 2020), with the use of this parametric model obscuring, rather than illuminating, the data. He suggests that this is symptomatic of a trend in the social networks community towards a methodological monoculture focussed on the use of ERGMs. In this Reply I try to clarify how this situation arose in this specific case, and address some more general issues Martin raises, including the use of nodal covariates, what we can learn from ERGMs, and methodological monoculturalism in social network research.

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