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* Ihre Aktion  suchen [und] (PICA-Produktionsnummer (PPN)) 435314181
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Online-Publ. (ohne Zeitschriften)
PPN:  
435314181
Titel:  
Exploratory social network analysis with Pajek / Wouter de Nooy (University of Amsterdam), Andrej Mrvar (University of Ljubljana), Vladimir Batagelj (University of Ljubljana)
Verantwortlich:  
Nooy, Wouter de [Verfasser] [1962-] ; Mrvar, Andrej [Verfasser] ; Batagelj, Vladimir [Verfasser] [1948-]
Ausgabe:  
Third edition
Erschienen:  
Cambridge : Cambridge University Press, 2018
Vertrieb:  
Cambridge, UK : Cambridge University Press
Umfang:  
1 Online-Ressource (xxx, 455 pages)
Serie:  
Structural analysis in the social sciences ; 46
Anmerkung:  
Title from publisher's bibliographic system (viewed on 25 Jul 2018)
ISBN:
978-1-108-56569-1 ; 978-1-108-47414-6 ; 978-1-108-46227-3
 
Zugang:  
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Abstract:  
An extensively revised and expanded third edition of the successful textbook on analysis and visualization of social networks integrating theory, applications, and professional software for performing network analysis (Pajek). The main structural concepts and their applications in social research are introduced with exercises. Pajek software and datasets are available, so readers can learn network analysis through application and case studies. In the end readers will have the knowledge, skills, and tools to apply social network analysis across different disciplines. A fundamental redesign of the menu structure and the capability to analyze much larger networks required a new edition. This edition presents several new operations including community detection, generalized main paths searches, new network indices, advanced visualization approaches, and instructions for installing Pajek under MacOSX. This third edition is up-to-date with Pajek version 5 and it introduces PajekXXL for very large networks and Pajek3XL for huge networks.
 

 
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