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The Application of Optical Coincidence Cards to the Matrices of Digraphs of Social Networks

Bibliographic Data

ID2323802
AuthorsG Kingsley Garbett (corresponding author)
Year1968
Volume2
Issue3
Pages313-331
Publication date1968-09-01
Open AccessYes
TypeARTICLE
VenueSociology (JOURNAL)
Journal identifiersISSN: 0038-0385 • E-ISSN: 1469-8684
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1177/003803856800200304
OpenAlexW2119258635
LanguageEN
References cited11

Interest has centred recently on the application of the theory of directed graphs to social networks. Graph theory provides a vocabulary and a set of measures which enable the formal properties of a social network to be expressed. A social network may be represented by a number of directed graphs each of which depicts some institutional or interactional aspect of the relationships among individuals involved in it. Such directed graphs may be so complex that their properties are not easily ascertained by visual inspection. However, all the properties of a directed graph may be obtained by performing certain operations on its adjacency matrix.)Whilst a computer may be programmed to perform these operations, optical coincidence cards may be adapted to provide a novel and simple alternative method of manipulating boolean matrices up to 50 × 50 in size which is of low cost and does not require special skills or access to special equipment

Adjacency list · Adjacency matrix · Algorithm · Arithmetic · Coincidence · Combinatorics · Directed graph · Discrete mathematics · Epistemology · Graph · Graph theory · Linguistics · Programming language · Set (abstract data type) · Simple (philosophy) · Social media · Social network (sociolinguistics) · Vocabulary · World Wide Web · Artificial Intelligence · Complex Network Analysis Techniques · Computer Science · Data Visualization and Analytics · Mathematics · Theoretical Computer Science

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Highly citedNo

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