Social Network Analysis: Methods and ApplicationsCambridge University Press, 25 lis 1994 Social network analysis is used widely in the social and behavioral sciences, as well as in economics, marketing, and industrial engineering. The social network perspective focuses on relationships among social entities and is an important addition to standard social and behavioral research, which is primarily concerned with attributes of the social units. Social Network Analysis: Methods and Applications reviews and discusses methods for the analysis of social networks with a focus on applications of these methods to many substantive examples. It is a reference book that can be used by those who want a comprehensive review of network methods, or by researchers who have gathered network data and want to find the most appropriate method by which to analyze it. It is also intended for use as a textbook as it is the first book to provide comprehensive coverage of the methodology and applications of the field. |
Spis treści
Hypergraphs | |
Centrality andPrestige | |
Structural Balance and Transitivity 6 1 Structural Balance | |
Cohesive Subgroups 7 1 Background | |
Affiliations and Overlapping Subgroups | |
Events | |
Roles and Positions | |
What AreNetwork | |
Notation for Social NetworkData 3 1 Graph Theoretic Notation | |
Inne wydania - Wyświetl wszystko
Social Network Analysis: Methods and Applications Stanley Wasserman,Katherine Faust Ograniczony podgląd - 1994 |
Kluczowe wyrazy i wyrażenia
affiliation network andthe arcs attribute variables bipartite graph Boorman Borgatti Breiger calculated canbe centrality Chapter cliques cohesive subgroups columns compound relations configurations consider contains correlation defined denote density described dichotomous relations digraph directed graph discussed dyads equation equivalence classes Euclidean distance example Freeman geodesic graph theoretic Harary hierarchical clustering homomorphic reduction hypergraph hypothesis image matrices important indegrees indices individual actors interactions inthe isomorphism Krackhardt’s high-tech managers Leinhardt lines mathematical matrix measure methods models multidimensional scaling n-cliques nodes nondirectional relations notation ofactors ofthe one-mode outdegrees pair of nodes pairs of actors parameters partition path permutation positions prestige properties random reachable reciprocity regular equivalence role structure rows set of actors signed graph social network analysis social network data Sociology sociomatrix sociometric statistical stochastic blockmodel structural equivalence subgraph subsets of actors substantive theory tothe transitivity triad census uniform distribution valued relations Wasserman y-array