Výsledky vyhledávání - "SCOTT A. BOORMAN"

Publikováno v: Economics Letters. 13:1-9

Blockmodeling, a combinatorial technique for relational data analysis, is applied to studying texts of complex economic legislation. By making this area a subject for mathematical modeling, using methods related to combinatorics, logic, and discrete

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::09874a520db844fb42e8c935fe9f4080
https://doi.org/10.1016/0165-1765(83)90002-2

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Social Structure from Multiple Networks. I. Blockmodels of Roles and Positions

Autor: Harrison C. White, Ronald L. Breiger, Scott A. Boorman

Publikováno v: American Journal of Sociology. 81:730-780

Networks of several distinct types of social tie are aggregated by a dual model that partitions a population while simultaneously identifying patterns of relations. Concepts and algorithms are demonstrated in five case studies involving up to 100 per

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https://doi.org/10.1086/226141

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Social Structure from Multiple Networks. II. Role Structures

Autor: Harrison C. White, Scott A. Boorman

Publikováno v: American Journal of Sociology. 81:1384-1446

Role structures in small populations are given operational meaning as algebras generated from the sociometric blockmodels of Part I by Boolean multiplication (matrix multiplication employing binary arithmetic). Many different sociometric structures c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::55c4dd2a3dd552ba82cdc6c37fa8cd59
https://doi.org/10.1086/226228

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Constructing blockmodels: How and why

Autor: Scott A. Boorman, Paul R Levitt, Phipps Arabie

Publikováno v: Journal of Mathematical Psychology. 17:21-63

Blockmodel approaches to network analysis as developed by Harrison White are shown to fall in a broader class of established data analysis methods based on matrix permutations (e.g., clique detection, seriation, permutation algorithms for sparse matr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::68f360fc8a0e7703d16f3e1ea41091dd
https://doi.org/10.1016/0022-2496(78)90034-2

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A Combinatorial Optimization Model for Transmission of Job Information through Contact Networks

Autor: Scott A. Boorman

Publikováno v: Bell Journal of Economics. 6:216-249

A combinatorial network model is constructed to describe the information structure of job finding in a homogeneous job market. A fundamental distinction is drawn between strong and weak contacts: strong contacts are assumed to have strict priority as

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An algorithm for clustering relational data with applications to social network analysis and comparison with multidimensional scaling

Autor: Ronald L. Breiger, Phipps Arabie, Scott A. Boorman

Publikováno v: Journal of Mathematical Psychology. 12:328-383

A method of hierarchical clustering for relational data is presented, which begins by forming a new square matrix of product-moment correlations between the columns (or rows) of the original data (represented as an n × m matrix). Iterative applicati

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https://doi.org/10.1016/0022-2496(75)90028-0

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Island Models for Takeover by a Social Trait Facing a Frequency-Dependent Selection Barrier in a Mendelian Population

Autor: Scott A. Boorman

Publikováno v: Proceedings of the National Academy of Sciences. 71:2103-2107

A population genetic model is presented for selection of a Mendelian trait controlling for cooperative behavior between unrelated conspecifics. Under simple and robust assumptions, such a trait will be selected on a frequency-dependent basis, with a

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https://doi.org/10.1073/pnas.71.5.2103

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