UID:
almahu_9947414107302882
Format:
1 online resource (xxx, 420 pages) :
,
digital, PDF file(s).
Edition:
Second edition.
ISBN:
9780511996368 (ebook)
Series Statement:
Structural analysis in the social sciences ; 27
Content:
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.
Note:
Title from publisher's bibliographic system (viewed on 05 Oct 2015).
,
Machine generated contents note: Part I. Fundamentals: 1. Looking for social structure; 2. Attributes and relations; Part II. Cohesion: 3. Cohesive subgroups; 4. Sentiments and friendship; 5. Affiliations; Part III. Brokerage: 6. Center and periphery; 7. Brokers and bridges; 8. Diffusion; Part IV. Ranking: 9. Prestige; 10. Ranking; 11. Genealogies and citations; Part V. Roles: 12. Blockmodels; 13. Eandom graph models; Appendix 1. Getting started with Pajek; Appendix 2. Exporting visualizations; Appendix 3. Shortcut key combinations.
Additional Edition:
Print version: ISBN 9781107002388
Language:
English
Subjects:
Computer Science
,
Education
,
Sociology
URL:
https://doi.org/10.1017/CBO9780511996368
URL:
Volltext
(lizenzpflichtig)
