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George Mason University

Network Inference from Grouped Data

Abstract

In the past two decades, the interest in network analysis has expanded rapidly. Most network analysis methods start from observed network topology. However, network structure is not directly observed in many fields, especially in social sciences. Thus, a methodology for inferring implicit network structure is required to effectively apply network analysis. One area of research involves the inference of network structure from \textit{grouped data}. Grouped data records the manner in which a population forms subsets or smaller groups.

Author and committee

dc:creator, dc:contributor.*
Author
  • Weko, Charles William

Subjects

dc:subject × 4

Identifiers

dc:identifier.*
Identifier
hdl:1920/9696
OAI identifier oai:identifier
oai:MARS:1920/9696

Chain of custody

source
Harvested from
George Mason University
Base URL
mars.gmu.edu/server/oai/request
Last updated
2026-07-27
Source record
OAI-PMH GetRecord
citation

Weko, Charles William. Network Inference from Grouped Data. 2015.