Estimation of global network properties by using local aggregated data.
2014 (English)Conference paper, Abstract (Other academic)
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
Edge multiplicity; random multigraph; complexity; entropy;
Computer and Information Science Probability Theory and Statistics
Research subject Mathematical Statistics; Statistics
IdentifiersURN: urn:nbn:se:su:diva-97418OAI: oai:DiVA.org:su-97418DiVA: diva2:677479
INSNA Sunbelt 2014, Florida
FunderEU, European Research Council, 319209