Exploratory Social Network Analysis With Pajek - Revised and Expanded Edition for Updated Software

Presents an analysis and visualization of social networks integrating theory, applications, and professional software for performing network analysis (Pajek).

Table des matières

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. Random graph models.

A propos de l'auteur

Wouter de Nooy is Associate Professor in the Department of Communication Science at the Universiteit van Amsterdam, the Netherlands. He is a member of the Amsterdam School of Communication Research ASCoR. His research interests include dynamic models for social networks and their application in culture and politics.Andrej Mrvar is Professor of Social Science Informatics at the Faculty of Social Sciences, University of Ljubljana, Slovenia. He started developing programs Pajek, PajekXXL and Pajek3XL as part of his Ph.D. dissertation at the Faculty of Computer and Information Science in 1996. Since then Pajek has been in constant development.Vladimir Batagelj is Professor Emeritus of the University of Ljubljana, Slovenia. He is also a member of Inštitut za matematiko, fiziko in mehaniko (IMFM), Ljubljana, and of the Univerza na Primorskem, Inštitut Andrej Marušič (UP, IAM), Koper. His co-authored book Generalized Blockmodeling (Cambridge, 2005) was awarded the 2007 Harrison White Outstanding Book Award by the Mathematical Sociology Section of American Sociological Association (ASA). From International Network for Social Network Analysis (INSNA) he was awarded the Georg Simmel Award (2007) and the Richards Software Award for the program Pajek (2013). In 2014 he co-authored a book entitled Understanding Large Temporal Networks and Spatial Networks.

Résumé

The textbook on analysis and visualization of social networks that integrates theory, applications, and professional software for performing network analysis. Pajek software and datasets for all examples are freely available, so the reader can learn network analysis by doing it. Each chapter offers case studies for practicing network analysis.

Détails du produit

• Auteurs: Vladimir Batagelj, Vladimir (University of Ljubljana) Batagelj, Batagelj Vladimir, Wouter De Nooy, Wouter (Universiteit van Amsterdam) De Nooy, Wouter (Universiteit Van Amsterdam) Mrvar De Nooy, Andrej Mrvar, Andrej (University of Ljubljana) Mrvar, Mrvar Andrej
• Edition: Cambridge University Press ELT
• Langues: Anglais
• Format d'édition: Livre de poche
• Sortie: 31.07.2018
• EAN: 9781108462273
• ISBN: 978-1-108-46227-3
• Pages: 484
• Thèmes: Structural Analysis in the Social Sciences; Structural Analysis in the Soc; Structural Analysis in the Social Sciences; Structural Analysis in the Soc
• Catégories: Sciences naturelles, médecine, informatique, technique > Informatique, ordinateurs > Général, dictionnaires; Sciences sociales, droit, économie > Sociologie > Théories sociologiques; Sociology, SOCIAL SCIENCE / Sociology / General, SOCIAL SCIENCE / Criminology, COMPUTERS / Networking / General, COMPUTERS / System Administration / General, REFERENCE / Research, Social networking, Social media / social networking, Crime and criminology, Crime & criminology, Coding theory & cryptology, Data analysis: general, Data science and analysis: general, Network Management, Coding theory and cryptology