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Estimation of global network properties by using local aggregated data.
University of Konstanz, Germany.
Stockholm University, Faculty of Social Sciences, Department of Statistics.
2014 (English)Conference paper, Oral presentation with published abstract (Other academic)
Abstract [en]

Estimation of global network properties by using local aggregated data.   We consider networks that can be modeled as random multigraphs and indicate various applications and appearances of multigraphs. Global properties are measured by entropy and complexity based on the edge multiplicities. Sample data give partial information about the network, and we consider a special kind of local information given by aggregation of vertices and counting of edges within and between blocks of vertices. Shafie (2012) gives a comprehensive analysis and comparison of random multigraphs of different kinds, and Frank and Shafie (2013) present special results about complexity and data aggregation in multigraphs.  

Place, publisher, year, edition, pages
2014.
Keyword [en]
Edge multiplicity; random multigraph; complexity; entropy;
National Category
Computer and Information Sciences Probability Theory and Statistics
Research subject
Mathematical Statistics; Statistics
Identifiers
URN: urn:nbn:se:su:diva-97418OAI: oai:DiVA.org:su-97418DiVA: diva2:677479
Conference
INSNA Sunbelt 2014, Florida
Funder
EU, European Research Council, 319209
Available from: 2013-12-09 Created: 2013-12-09 Last updated: 2018-01-11Bibliographically approved

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