Exploratory Social Network Analysis with Pajek / [electronic resource]
by de Nooy, Wouter [author.]; Mrvar, Andrej [author.]; Batagelj, Vladimir [author.].
Material type:
BookSeries: Structural Analysis in the Social Sciences ; no. 27.Publisher: Cambridge : Cambridge University Press, 2011.Edition: 2nd ed.Description: 1 online resource (452 pages) : digital, PDF file(s).ISBN: 9780511996368 (ebook).Subject(s): Pajek (Electronic resource)Online resources: Cambridge Books Online Summary: An extensively revised and expanded second edition of the successful textbook on social network analysis integrating theory, applications and network analysis using Pajek. The main structural concepts and their applications in social research are introduced with exercises. Pajek software and data sets are available so readers can learn network analysis through application and case studies. Readers will have the knowledge, skill and tools to apply social network analysis across the social sciences, from anthropology and sociology to business administration and history. This second edition has a new chapter on random network models, for example, scale-free and small-world networks and Monte Carlo simulation; discussion of multiple relations, islands and matrix multiplication; new structural indices such as eigenvector centrality, degree distribution and clustering coefficients; new visualization options that include circular layout for partitions and drawing a network geographically as a 3D surface; and using Unicode labels.
Title from publisher's bibliographic system (viewed on 09 Oct 2015).
An extensively revised and expanded second edition of the successful textbook on social network analysis integrating theory, applications and network analysis using Pajek. The main structural concepts and their applications in social research are introduced with exercises. Pajek software and data sets are available so readers can learn network analysis through application and case studies. Readers will have the knowledge, skill and tools to apply social network analysis across the social sciences, from anthropology and sociology to business administration and history. This second edition has a new chapter on random network models, for example, scale-free and small-world networks and Monte Carlo simulation; discussion of multiple relations, islands and matrix multiplication; new structural indices such as eigenvector centrality, degree distribution and clustering coefficients; new visualization options that include circular layout for partitions and drawing a network geographically as a 3D surface; and using Unicode labels.
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