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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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Institution:
University of Oxford
Department:
Politics and Int Relations
Role:
Author
Journal:
Annals of Applied Statistics
Volume:
4(2)
Pages:
pp. 567–588.
Publication date:
2010-01-01
URN:
uuid:0b3ad8f1-8ce6-4947-9a9a-7238d0d3e564
Source identifiers:
471
Local pid:
daisy:471

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