Journal article

Introduction to stochastic actor-based models for network dynamics

Abstract:

Stochastic actor-based models are models for network dynamics that can represent a wide variety of influences on network change, and allow to estimate parameters expressing such influences, and test corresponding hypotheses. The nodes in the network represent social actors, and the collection of ties represents a social relation. The assumptions posit that the network evolves as a stochastic process 'driven by the actors', i.e., the model lends itself especially for representing theories abou...

Publication status:
Published

Authors

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Institution:
University of Oxford
Division:
MPLS
Department:
Statistics
Role:
Author
Journal:
SOCIAL NETWORKS
Volume:
32
Issue:
1
Pages:
44-60
Publication date:
2010-01-01
DOI:
ISSN:
0378-8733
Source identifiers:
97827
Language:
English
Keywords:
Pubs id:
pubs:97827
UUID:
uuid:0a5901e7-edcd-48a9-b8df-ee925a2d3f04
Local pid:
pubs:97827
Deposit date:
2012-12-19