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Finding informative triads
Stockholm University, Faculty of Social Sciences, Department of Statistics.
2017 (English)Conference paper, Oral presentation only (Other academic)
Abstract [en]

Network data containing attributes of both vertices and vertex pairs can be analysed together using multivariate entropies. This general multivariate technique is here illustrated with data previously analysed by Lazega and others. We focus here on the role of triad count statistics for exploring the dependency structure of the network attributes.

Place, publisher, year, edition, pages
2017.
Keyword [en]
Multivariate entropy, Triad census, Social networks
National Category
Probability Theory and Statistics Other Social Sciences not elsewhere specified
Research subject
Statistics
Identifiers
URN: urn:nbn:se:su:diva-147595OAI: oai:DiVA.org:su-147595DiVA: diva2:1147384
Conference
The 3rd European Conference on Social Networks, Mainz, Germany, September 26 - 29, 2017
Available from: 2017-10-05 Created: 2017-10-05 Last updated: 2017-10-18Bibliographically approved

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Frank, Ove
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CiteExportLink to record
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Citation style
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