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Polanski, Arnold 
ORCID: https://orcid.org/0000-0001-9146-6364 and McVicar, Duncan
(2011)
Recovering social networks from individual attributes.
Journal of Mathematical Sociology, 35 (4).
pp. 287-311.
ISSN 0022-250X
Abstract
One of the most important challenges of network analysis remains the scarcity of reliable information on existing connection structures. This work explores theoretical and empirical methods of inferring directed networks from nodes attributes and from functions of these attributes that are computed for connected nodes. We discuss the conditions, under which an underlying connection structure can be (probabilistically) recovered, and propose a Bayesian recovery algorithm. In an empirical application, we test the algorithm on the data from the European School Survey Project on Alcohol and Other Drugs.
| Item Type: | Article |
|---|---|
| Faculty \ School: | Faculty of Social Sciences > School of Economics |
| UEA Research Groups: | Faculty of Social Sciences > Research Groups > Economic Theory Faculty of Social Sciences > Research Groups > Applied Econometrics And Finance |
| Depositing User: | Julie Frith |
| Date Deposited: | 09 Feb 2012 10:31 |
| Last Modified: | 16 Jan 2024 01:20 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/36952 |
| DOI: | 10.1080/0022250X.2010.509525 |
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