Social Network Analysis: A HandbookSAGE Publications, 02.05.2000 - 224 Seiten The revised and updated edition of this bestselling text provides an accessible introduction to the theory and practice of network analysis in the social sciences. It gives a clear and authoritative guide to the general framework of network analysis, explaining the basic concepts, technical measures and reviewing the available computer programs. The book outlines both the theoretical basis of network analysis and the key techniques for using it as a research tool. Building upon definitions of points, lines and paths, John Scott demonstrates their use in clarifying such measures as density, fragmentation and centralization. He identifies the various cliques, components and circles into which networks are formed, and outlines |
Inhalt
1 Types of data and analysis | 3 |
The Development of Social Network Analysis | 5 |
the sociometric star | 10 |
Urheberrecht | |
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Häufige Begriffe und Wortgruppen
absolute centre adjacency matrix affiliations agents algorithm approach argued binary block model Breiger Burt calculated cells Chapter circles cliques cluster analysis cohesive companies concept CONCOR configuration connected constructed contacts correlation cycle cyclic components data files data matrix data sets defined degree density diagram directed graph directors discussed distinct ego-centric enterprises Euclidean Euclidean distances Everett example Figure Gattrell GRADAP graph theory Harary Homans idea identified image matrix important incidence matrix INSNA interlocks interpersonal investigation involved k-core k-plex Laumann mathematical measure method multidimensional scaling multiplicity number of lines number of points overall papers particular path distance pattern point centrality possible principal components principal components analysis procedure produce relational data roles rows and columns sample scatter diagram set of points shows similar simply social network analysis sociogram Sociology sociometric solution structural equivalence sub-graph sub-groups techniques theoretical tions UCINET undirected variables Virtual Memory