| Records |
| Author |
Dunbar, R. |
| Title |
Evolution of the social brain |
Type |
Journal Article |
| Year |
2003 |
Publication |
Science |
Abbreviated Journal |
Science |
| Volume |
302 |
Issue |
5648 |
Pages |
1160-1161 |
| Keywords |
Animals; Animals, Wild; *Cognition; Endorphins/physiology; *Evolution; Female; Grooming; Hierarchy, Social; Language; Neocortex/anatomy & histology/physiology; Papio/physiology/*psychology; *Reproduction; *Social Behavior; Social Dominance; Social Support; Vocalization, Animal |
| Abstract |
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| Address |
School of Biological Sciences, University of Liverpool, Liverpool L69 7ZB, UK. rimd@liv.ac.uk |
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Thesis |
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| Publisher |
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Place of Publication |
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Editor |
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| Language |
English |
Summary Language |
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Original Title |
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| Series Editor |
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Series Title |
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Abbreviated Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
1095-9203 |
ISBN |
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Medium |
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| Area |
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Expedition |
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Conference |
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| Notes |
PMID:14615522 |
Approved |
no |
| Call Number |
refbase @ user @ |
Serial |
548 |
| Permanent link to this record |
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| Author |
Pattison, P.; Wasserman, S. |
| Title |
Logit models and logistic regressions for social networks: II. Multivariate relations |
Type |
Journal Article |
| Year |
1999 |
Publication |
The British Journal of Mathematical and Statistical Psychology |
Abbreviated Journal |
Br J Math Stat Psychol |
| Volume |
52 ( Pt 2) |
Issue |
|
Pages |
169-193 |
| Keywords |
Humans; Markov Chains; *Models, Statistical; Organization and Administration; *Social Support |
| Abstract |
The research described here builds on our previous work by generalizing the univariate models described there to models for multivariate relations. This family, labelled p*, generalizes the Markov random graphs of Frank and Strauss, which were further developed by them and others, building on Besag's ideas on estimation. These models were first used to model random variables embedded in lattices by Ising, and have been quite common in the study of spatial data. Here, they are applied to the statistical analysis of multigraphs, in general, and the analysis of multivariate social networks, in particular. In this paper, we show how to formulate models for multivariate social networks by considering a range of theoretical claims about social structure. We illustrate the models by developing structural models for several multivariate networks. |
| Address |
Department of Psychology, University of Melbourne, Parkville, Victoria, Australia. pattision@psych.unimelb.edu.au |
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Thesis |
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Place of Publication |
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Editor |
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| Language |
English |
Summary Language |
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Original Title |
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Series Title |
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Abbreviated Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
0007-1102 |
ISBN |
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Medium |
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| Area |
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Expedition |
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Conference |
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| Notes |
PMID:10613111 |
Approved |
no |
| Call Number |
Equine Behaviour @ team @ |
Serial |
5030 |
| Permanent link to this record |
