Equine and Animal Cognition Reference Database -- Query Results

	Equine and Animal Cognition Reference Database Home \| Show All \| Simple Search \| Advanced Search	Login Quick Search: Field: contains: ...
	1-4 of 4 records found matching your query:

Search & Display Options

Select All Deselect All

<< 1 >>

List View

Citations

Details

	Records
	Author	Iacobucci, D.; Wasserman, S.
	Title	Social networks with two sets of actors			Type	Journal Article
	Year	1990	Publication	Psychometrika	Abbreviated Journal	Psychometrika
	Volume	55	Issue	4	Pages	707-720
	Keywords
	Abstract	Abstract Traditional network research analyzes relational ties within a single group of actors: the models presented in this paper involve relational ties exist beteen two distinct sets of actors. Statistical models for traditional networks in which relations are measured within a group simplify when modeling unidirectional relations measured between groups. The traditional paradigm results in a one-mode socionatrix; the network paradigm considered in this paper results in a two-mode socionatrix; A statistical model is presented, illustrated on a sample data set, and compared to its traditional counterpart. Extensions are discussed, including those that model multivariate relations simultaneously, and those that allow for the inclustion of attributes of the individuals in the group.
	Address
	Corporate Author				Thesis
	Publisher		Place of Publication		Editor
	Language		Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN		ISBN		Medium
	Area		Expedition		Conference
	Notes				Approved	no
	Call Number	Equine Behaviour @ team @			Serial	5036
Permanent link to this record



	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
	Corporate Author				Thesis
	Publisher		Place of Publication		Editor
	Language	English	Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	0007-1102	ISBN		Medium
	Area		Expedition		Conference
	Notes	PMID:10613111			Approved	no
	Call Number	Equine Behaviour @ team @			Serial	5030
Permanent link to this record



	Author	Wasserman, S.
	Title	Conformity of two sociometric relations			Type	Journal Article
	Year	1987	Publication	Psychometrika	Abbreviated Journal	Psychometrika
	Volume	52	Issue	1	Pages	3-18
	Keywords
	Abstract	Abstract The problem of comparing two sociometric relations or measurements (A andB) recorded in distinct sociomatrices was originally discussed by Katz and Powell in the early 1950's and Hubert and Baker in the late 1970's. The problem is considered again using a probabilistic model designed specifically for discrete-valued network measurements. The model allows for the presence of various structural tendencies, such as reciprocity and differential popularity. A parameter that isolates the tendency for actors to choose other actors on both relations simultaneously is introduced, and estimated conditional on the presence of other parameters that reflect additional important network properties. The parameter is presented as a symmetric index but is also generalized to the predictive (A onB orB onA) situation. This approach to the problem is illustrated with the same data used by the earlier solutions, and the unique nature of the two relations in the data set (A = received choices,B = perceived choices), as it affects the modeling, is discussed. Significance tests for the parameter and related parameters are described, as well as an extension to more than two relations.
	Address
	Corporate Author				Thesis
	Publisher		Place of Publication		Editor
	Language		Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN		ISBN		Medium
	Area		Expedition		Conference
	Notes				Approved	no
	Call Number	Equine Behaviour @ team @			Serial	5027
Permanent link to this record



	Author	Wasserman, S.; Faust, K.
	Title	Social Network Analysis : Methods and Applications			Type	Book Whole
	Year	1994	Publication		Abbreviated Journal
	Volume		Issue		Pages
	Keywords	bibtex-import
	Abstract
	Address
	Corporate Author				Thesis
	Publisher	Cambridge University Press	Place of Publication	Cambridge	Editor
	Language		Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN		ISBN		Medium
	Area		Expedition		Conference
	Notes				Approved	no
	Call Number	Equine Behaviour @ team @ Wasserman1994			Serial	5150
Permanent link to this record

Select All Deselect All

<< 1 >>

Details

CQL Search | Library Search | Show Record | Extract Citations

Help