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Networks Evolving Step by Step: Statistical Analysis of Dyadic Event Data

Abstract:

With few exceptions, statistical analysis of social networks is currently focused on cross-sectional or panel data. On the other hand, automated collection of network-data often produces event data, L e., data encoding the exact time of interaction between social actors. In this paper we propose models and methods to analyze such networks of dyadic events and to determine the factors that influence the frequency and quality of interaction. We apply our methods to empirical datasets about poli...

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Publication status:
Published

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Publisher copy:
10.1109/ASONAM.2009.28

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Institution:
University of Oxford
Division:
MPLS
Department:
Statistics
Role:
Author
Pages:
200-205
Host title:
2009 INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING
Publication date:
2009-01-01
DOI:
Source identifiers:
97823
ISBN:
9781424445998
Pubs id:
pubs:97823
UUID:
uuid:09f18c7c-22c5-4c14-8027-e2b445cd660d
Local pid:
pubs:97823
Deposit date:
2012-12-19

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