Exploratory social network analysis with Pajek:
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 ar...
Gespeichert in:
Hauptverfasser: | , , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Cambridge
Cambridge University Press
2018
|
Ausgabe: | Third edition |
Schriftenreihe: | Structural analysis in the social sciences
46 |
Schlagworte: | |
Online-Zugang: | DE-12 DE-473 Volltext |
Zusammenfassung: | 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 |
Beschreibung: | Title from publisher's bibliographic system (viewed on 25 Jul 2018) |
Beschreibung: | 1 Online-Ressource (xxx, 455 Seiten) |
ISBN: | 9781108565691 |
DOI: | 10.1017/9781108565691 |
Internformat
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520 | |a 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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Datensatz im Suchindex
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author | Nooy, Wouter de 1962- Mrvar, Andrej ca. 20./21. Jh Batagelj, Vladimir 1948- |
author_GND | (DE-588)1146560753 (DE-588)1020211296 (DE-588)132116987 |
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author_role | aut aut aut |
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dewey-hundreds | 300 - Social sciences |
dewey-ones | 302 - Social interaction |
dewey-raw | 302.30285 302.307 |
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dewey-tens | 300 - Social sciences |
discipline | Pädagogik Informatik Soziologie Wirtschaftswissenschaften Soziale Arbeit |
doi_str_mv | 10.1017/9781108565691 |
edition | Third edition |
format | Electronic eBook |
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illustrated | Not Illustrated |
indexdate | 2024-12-05T17:00:55Z |
institution | BVB |
isbn | 9781108565691 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030547134 |
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physical | 1 Online-Ressource (xxx, 455 Seiten) |
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publisher | Cambridge University Press |
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spelling | Nooy, Wouter de 1962- Verfasser (DE-588)1146560753 aut Exploratory social network analysis with Pajek Wouter de Nooy (University of Amsterdam), Andrej Mrvar (University of Ljubljana), Vladimir Batagelj (University of Ljubljana) Third edition Cambridge Cambridge University Press 2018 1 Online-Ressource (xxx, 455 Seiten) txt rdacontent c rdamedia cr rdacarrier Structural analysis in the social sciences 46 Title from publisher's bibliographic system (viewed on 25 Jul 2018) 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 Pajek (Electronic resource) Social networks / Mathematical models Social networks / Computer simulation Soziales Netzwerk (DE-588)4055762-5 gnd rswk-swf Netzwerkanalyse Soziologie (DE-588)4205975-6 gnd rswk-swf Pajek (DE-588)7514264-8 gnd rswk-swf Computersimulation (DE-588)4148259-1 gnd rswk-swf Mathematisches Modell (DE-588)4114528-8 gnd rswk-swf Netzwerkanalyse Soziologie (DE-588)4205975-6 s Computersimulation (DE-588)4148259-1 s Pajek (DE-588)7514264-8 s DE-604 Soziales Netzwerk (DE-588)4055762-5 s Mathematisches Modell (DE-588)4114528-8 s 1\p DE-604 Mrvar, Andrej ca. 20./21. Jh. Verfasser (DE-588)1020211296 aut Batagelj, Vladimir 1948- Verfasser (DE-588)132116987 aut Erscheint auch als Druck-Ausgabe 9781108474146 https://doi.org/10.1017/9781108565691 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Nooy, Wouter de 1962- Mrvar, Andrej ca. 20./21. Jh Batagelj, Vladimir 1948- Exploratory social network analysis with Pajek Pajek (Electronic resource) Social networks / Mathematical models Social networks / Computer simulation Soziales Netzwerk (DE-588)4055762-5 gnd Netzwerkanalyse Soziologie (DE-588)4205975-6 gnd Pajek (DE-588)7514264-8 gnd Computersimulation (DE-588)4148259-1 gnd Mathematisches Modell (DE-588)4114528-8 gnd |
subject_GND | (DE-588)4055762-5 (DE-588)4205975-6 (DE-588)7514264-8 (DE-588)4148259-1 (DE-588)4114528-8 |
title | Exploratory social network analysis with Pajek |
title_auth | Exploratory social network analysis with Pajek |
title_exact_search | Exploratory social network analysis with Pajek |
title_full | Exploratory social network analysis with Pajek Wouter de Nooy (University of Amsterdam), Andrej Mrvar (University of Ljubljana), Vladimir Batagelj (University of Ljubljana) |
title_fullStr | Exploratory social network analysis with Pajek Wouter de Nooy (University of Amsterdam), Andrej Mrvar (University of Ljubljana), Vladimir Batagelj (University of Ljubljana) |
title_full_unstemmed | Exploratory social network analysis with Pajek Wouter de Nooy (University of Amsterdam), Andrej Mrvar (University of Ljubljana), Vladimir Batagelj (University of Ljubljana) |
title_short | Exploratory social network analysis with Pajek |
title_sort | exploratory social network analysis with pajek |
topic | Pajek (Electronic resource) Social networks / Mathematical models Social networks / Computer simulation Soziales Netzwerk (DE-588)4055762-5 gnd Netzwerkanalyse Soziologie (DE-588)4205975-6 gnd Pajek (DE-588)7514264-8 gnd Computersimulation (DE-588)4148259-1 gnd Mathematisches Modell (DE-588)4114528-8 gnd |
topic_facet | Pajek (Electronic resource) Social networks / Mathematical models Social networks / Computer simulation Soziales Netzwerk Netzwerkanalyse Soziologie Pajek Computersimulation Mathematisches Modell |
url | https://doi.org/10.1017/9781108565691 |
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