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Maximum likelihood estimation for social network dynamics

Abstract:

A model for network panel data is discussed, based on the assumption that the observed data are discrete observations of a continuous-time Markov process on the space of all directed graphs on a given node set, in which changes in tie variables are independent conditional on the current graph. The model for tie changes is parametric and designed for applications to social network analysis, where the network dynamics can be interpreted as being generated by choices made by the social actors re...

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Publication status:
Published

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Publisher copy:
10.1214/09-AOAS313

Authors


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Institution:
University of Oxford
Department:
Oxford, MPLS, Statistics
Koskinen, J More by this author
Schweinberger, M More by this author
Journal:
Annals of Applied Statistics
Volume:
4
Issue:
2
Pages:
567-588
Publication date:
2010-11-08
DOI:
ISSN:
1932-6157
URN:
uuid:ec80c482-ea0c-4ceb-93ab-088a3960fc66
Source identifiers:
97817
Local pid:
pubs:97817
Keywords:

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