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  • 1
    ISBN: 9781119224709
    Language: English
    Pages: xvi, 409 Seiten , Illustrationen
    Series Statement: Wiley series in computational and quantitative social science
    Parallel Title: Erscheint auch als Advances in network clustering and blockmodeling
    Parallel Title: Erscheint auch als Advances in network clustering and blockmodeling
    DDC: 302.301/13
    Keywords: Social networks Mathematical models ; Sociometry
    Abstract: Bibliometric analyses of the network clustering literature / Vladimir Batagelj, Anuška Ferligoj, and Patrick Doreian -- Clustering approaches to networks / Vladimir Batagelj -- Different approaches to community detection / Martin Rosvall, JeanCharles Delvenne, Michael T. Schaub, and Renaud Lambiotte -- Label propagation for clustering / Lovro Šubelj -- Blockmodeling of valued networks / Carl Nordlund and Aleš Žiberna -- Treating missing network data before partitioning / Anja Žnidar šič, Patrick Doreian, and Anuška Ferligoj -- Partitioning signed networks / Vincent Traag, Patrick Doreian, and Andrej Mrvar -- Partitioning multimode networks / Martin G Everett, and Stephen P Borgatti -- Partitioning linked networks / Aleš Žiberna -- Bayesian stochastic blockmodeling / Tiago P. Peixoto -- Structured networks and coarsegrained descriptions: a dynamical perspective / Michael T. Schaub, Jean-Charles Delvenne, Renaud Lambiotte, and Mauricio Barahona -- Scientific coauthorship networks / Marjan Cugmas, Anuška Ferligoj, and Luka Kronegger -- Conclusions and directions for future work / Patrick Doreian, Anuška Ferligoj, and Vladimir Batagelj.
    Abstract: "This book provides an integrated treatment of network clustering and blockmodeling (the most frequently used technique in social network analysis). There are many approaches that have been developed for partitioning networks across multiple disciplines such as: community detection, blockmodeling of valued networks, role assignment, stochastic blockmodeling, etc. This book will include a wide variety of new techniques addressing these problems with a view to solving them. Presented in a comprehensive manner, this book will provide the foundations for understanding network structures and processes. New approaches and methods that have been developed in the last 10 years in the field of both network clustering and blockmodeling will be the main focus of this book"--
    Note: Includes bibliographical references and index
    URL: Cover
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  • 2
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Wiley | Sebastopol, CA : O'Reilly Media Inc.
    ISBN: 9781119224709
    Language: English
    Pages: 1 Online-Ressource (432 pages)
    Edition: 1st edition
    DDC: 302.30113
    Abstract: Provides an overview of the developments and advances in the field of network clustering and blockmodeling over the last 10 years This book offers an integrated treatment of network clustering and blockmodeling, covering all of the newest approaches and methods that have been developed over the last decade. Presented in a comprehensive manner, it offers the foundations for understanding network structures and processes, and features a wide variety of new techniques addressing issues that occur during the partitioning of networks across multiple disciplines such as community detection, blockmodeling of valued networks, role assignment, and stochastic blockmodeling. Written by a team of international experts in the field, Advances in Network Clustering and Blockmodeling offers a plethora of diverse perspectives covering topics such as: bibliometric analyses of the network clustering literature; clustering approaches to networks; label propagation for clustering; and treating missing network data before partitioning. It also examines the partitioning of signed networks, multimode networks, and linked networks. A chapter on structured networks and coarsegrained descriptions is presented, along with another on scientific coauthorship networks. The book finishes with a section covering conclusions and directions for future work. In addition, the editors provide numerous tables, figures, case studies, examples, datasets, and more. Offers a clear and insightful look at the state of the art in network clustering and blockmodeling Provides an excellent mix of mathematical rigor and practical application in a comprehensive manner Presents a suite of new methods, procedures, algorithms for partitioning networks, as well as new techniques for visualizing matrix arrays Features numerous examples throughout, enabling readers to gain a better understanding of research methods and to conduct their own research effectively Written by leading contributors in the field of spatial networks analysis Advances in Network Clustering and Blockmodeling is an ideal book for graduate and undergraduate students taking courses on network analysis or working with networks using real data. It will also benefit researchers and practitioners interested in network analysis.
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  • 3
    ISBN: 1108474144 , 9781108474146 , 1108462278 , 9781108462273
    Language: English
    Pages: xxx, 455 Seiten , Illustrationen , 23 cm
    Edition: Revised and expanded edition for updated software, third edition
    Series Statement: Structural analysis in the social sciences 46
    Series Statement: Structural analysis in the social sciences
    DDC: 302.30285
    Keywords: Pajek (Electronic resource) ; Social networks Computer simulation ; Social networks Mathematical models
    Abstract: Machine generated contents note: pt. I FUNDAMENTALS -- 1.Looking for Social Structure -- 1.1.Introduction -- 1.2.Sociometry and Sociogram -- 1.3.Exploratory Social Network Analysis -- 1.3.1.Network Definition -- 1.3.2.Manipulation -- 1.3.3.Calculation -- 1.3.4.Visualization -- 1.4.Assembling a Social Network -- 1.5.Summary -- 1.6.Questions -- 1.7.Assignment -- 1.8.Further Reading -- 1.9.Answers -- 2.Attributes and Relations -- 2.1.Introduction -- 2.2.Example: The World System -- 2.3.Partitions -- 2.4.Reduction of a Network -- 2.4.1.Local View -- 2.4.2.Global View -- 2.4.3.Contextual View -- 2.5.Vectors and Coordinates -- 2.6.Network Analysis and Statistics -- 2.7.Summary -- 2.8.Questions -- 2.9.Assignment -- 2.10.Further Reading -- 2.11.Answers -- pt. II COHESION -- 3.Cohesive Subgroups -- 3.1.Introduction -- 3.2.Example -- 3.3.Density and Degree -- 3.4.Components -- 3.5.Cores -- 3.6.Cliques and Complete Subnetworks -- 3.7.Summary -- 3.8.Questions -- 3.9.Assignment
    Abstract: Note continued: 3.10.Further Reading -- 3.11.Answers -- 4.Sentiments and Friendship -- 4.1.Introduction -- 4.2.Balance Theory -- 4.3.Example -- 4.4.Detecting Structural Balance and Clusterability -- 4.5.Development in Time -- 4.6.Summary -- 4.7.Questions -- 4.8.Assignment -- 4.9.Further Reading -- 4.10.Answers -- 5.Affiliations -- 5.1.Introduction -- 5.2.Example -- 5.3.Two-Mode and One-Mode Networks -- 5.4.Islands -- 5.5.Communities -- 5.6.The Third Dimension -- 5.7.Summary -- 5.8.Questions -- 5.9.Assignment -- 5.10.Further Reading -- 5.11.Answers -- pt. III BROKERAGE -- 6.Center and Periphery -- 6.1.Introduction -- 6.2.Example -- 6.3.Distance -- 6.4.Betweenness -- 6.5.Eigenvector Centrality -- 6.6.Assortativity -- 6.7.Summary -- 6.8.Questions -- 6.9.Assignment -- 6.10.Further Reading -- 6.11.Answers -- 7.Brokers and Bridges -- 7.1.Introduction -- 7.2.Example -- 7.3.Bridges and Bi-Components -- 7.4.Ego-Networks and Constraint -- 7.5.Affiliations and Brokerage Roles
    Abstract: Note continued: 7.6.Summary -- 7.7.Questions -- 7.8.Assignment -- 7.9.Further Reading -- 7.10.Answers -- 8.Diffusion -- 8.1.Example -- 8.2.Contagion -- 8.3.Exposure and Thresholds -- 8.4.Critical Mass -- 8.5.Summary -- 8.6.Questions -- 8.7.Assignment -- 8.8.Further Reading -- 8.9.Answers -- pt. IV RANKING -- 9.Prestige -- 9.1.Introduction -- 9.2.Example -- 9.3.Popularity and Indegree -- 9.4.Correlation -- 9.5.Domains -- 9.6.Proximity Prestige -- 9.7.Summary -- 9.8.Questions -- 9.9.Assignment -- 9.10.Further Reading -- 9.11.Answers -- 10.Ranking -- 10.1.Introduction -- 10.2.Example -- 10.3.Triadic Analysis -- 10.4.Acyclic Networks -- 10.5.Symmetric-Acyclic Decomposition -- 10.6.Summary -- 10.7.Questions -- 10.8.Assignment -- 10.9.Further Reading -- 10.10.Answers -- 11.Genealogies and Citations -- 11.1.Introduction -- 11.2.Example I: Genealogy of the Ragusan Nobility -- 11.3.Family Trees -- 11.4.Social Research on Genealogies
    Abstract: Note continued: 11.5.Example II: Citations among Papers on Network Centrality -- 11.6.Citations -- 11.7.Summary -- 11.8.Questions -- 11.9.Assignment 1 -- 11.10.Assignment 2 -- 11.11.Further Reading -- 11.12.Answers -- pt. V MODELING -- 12.Blockmodels -- 12.1.Introduction -- 12.2.Matrices and Permutation -- 12.3.Roles and Positions: Equivalence -- 12.4.Blockmodeling -- 12.4.1.Blockmodel -- 12.4.2.Blockmodeling -- 12.4.3.Regular Equivalence -- 12.5.Summary -- 12.6.Questions -- 12.7.Assignment -- 12.8.Further Reading -- 12.9.Answers -- 13.Random Graph Models -- 13.1.Introduction -- 13.2.Example -- 13.3.Modeling Overall Network Structure -- 13.3.1.Classic Uniform Models -- 13.3.2.Small-World Models -- 13.3.3.Preferential Attachment Models -- 13.4.Monte Carlo Simulation -- 13.5.Summary -- 13.6.Questions -- 13.7.Assignment -- 13.8.Further Reading -- 13.9.Answers -- Appendix 1 Getting Started with Pajek -- A1.1.Installation -- A1.2.Network Data Formats
    Abstract: Note continued: A1.3.Creating Network Files for Pajek -- A1.3.1.Within Pajek -- A1.3.2.Helper Software -- A1.3.3.Word Processor -- A1.3.4.Relational Database -- A1.4.Limitations -- A1.5.PajekXXL and Pajek3XL -- A1.6.Updates of Pajek -- Appendix 2 Exporting Visualizations -- A2.1.Export Formats -- A2.1.1.Bitmap and JPEG -- A2.1.2.Encapsulated PostScript -- A2.1.3.Scalable Vector Graphics -- A2.1.4.VOSviewer -- A2.1.5.Virtual Reality Modeling Language and X3D -- A2.1.6.MDL MOL and Kinemages -- A2.2.Layout Options -- A2.2.1.Top Frame on the Left: EPS/SVG Vertex Default -- A2.2.2.Bottom Frame on the Left: EPS/SVG Line Default -- A2.2.3.Top Frame on the Right -- A2.2.4.Middle Frame on the Right -- Background Colors -- A2.2.5.Bottom Frame on the Right -- EPS Border -- Appendix 3 Installing Pajek on Mac OS X -- Appendix 4 Shortcut Key Combinations -- A4.1.Main Screen -- A4.2.Hierarchy Edit Screen -- A4.3.Draw Screen.
    Note: "The webpage to the third edition of this book [see URLs below] contains the example data sets, helper programs, and other online documents referenced in this book."--Preface to third edition , Previous edition: 2011 , Includes bibliographical references and indexes
    URL: Unbekannt  (Webpage for 3rd edition)
    URL: Unbekannt  (Mirror webpage for 3rd edition)
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  • 4
    Book
    Book
    New York, NY ; Melbourne ; Madrid ; Cape Town : Cambridge University Press
    ISBN: 9781107002388 , 1107002389 , 9780521174800 , 0521174805
    Language: English
    Pages: xxx, 420 Seiten , Illustrationen ; Diagramme , 24 cm
    Edition: Revised and expanded second edition
    Series Statement: Structural analysis in the social sciences 34
    Series Statement: Structural analysis in the social sciences
    DDC: 302.307
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    Keywords: Pajek (Electronic resource) ; Social networks / Mathematical models ; Social networks / Computer simulation ; SOCIAL SCIENCE / Research ; Mathematisches Modell ; Netzwerkanalyse ; Computersimulation ; Mathematisches Modell ; Soziales Netzwerk ; Pajek ; Netzwerkanalyse ; Computersimulation ; Pajek ; Soziales Netzwerk ; Mathematisches Modell
    Abstract: "This is the first textbook on social network analysis integrating theory, applications, and professional software for performing network analysis (Pajek). Step by step, the book introduces the main structural concepts and their applications in social research with exercises to test the understanding. In each chapter, each theoretical section is followed by an application section explaining how to perform the network analyses with Pajek software. Pajek software and data sets for all examples are freely available, so the reader can learn network analysis by doing it. In addition, each chapter offers case studies for practicing network analysis. In the end, the reader has the knowledge, skills, and tools to apply social network analysis in all social sciences, ranging from anthropology and sociology to business administration and history"--Provided by publisher
    Note: 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
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  • 5
    ISBN: 0511996365 , 1139117459 , 1139128116 , 9781139128117 , 9781139117456 , 9780511996368
    Language: English
    Pages: 1 Online-Ressource (xxx, 420 pages) , illustrations
    Edition: Rev. and expanded second edition
    Series Statement: Structural analysis in the social sciences 34
    Parallel Title: Erscheint auch als Nooy, Wouter de, 1962- Exploratory social network analysis with Pajek
    DDC: 302.307
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    Keywords: Pajek (Electronic resource) ; Pajek (Electronic resource) ; Social networks Mathematical models ; Social networks Computer simulation ; SOCIAL SCIENCE ; Research ; BUSINESS & ECONOMICS ; Negotiating ; FAMILY & RELATIONSHIPS ; Interpersonal Relations ; Social networks ; Mathematical models ; Computersimulation ; Netzwerkanalyse ; Pajek
    Abstract: "This is the first textbook on social network analysis integrating theory, applications, and professional software for performing network analysis (Pajek). Step by step, the book introduces the main structural concepts and their applications in social research with exercises to test the understanding. In each chapter, each theoretical section is followed by an application section explaining how to perform the network analyses with Pajek software. Pajek software and data sets for all examples are freely available, so the reader can learn network analysis by doing it. In addition, each chapter offers case studies for practicing network analysis. In the end, the reader has the knowledge, skills, and tools to apply social network analysis in all social sciences, ranging from anthropology and sociology to business administration and history"--Provided by publisher
    Abstract: 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.
    Note: Includes bibliographical references and index
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  • 6
    Online Resource
    Online Resource
    Cambridge : Cambridge University Press
    ISBN: 1280437189 , 9781280437182 , 9780511170911
    Language: English
    Pages: Online-Ressource (xv, 384 p) , ill
    Series Statement: Structural analysis in the social sciences 25
    Parallel Title: Print version Generalized Blockmodeling
    DDC: 302/.01/5195
    Keywords: Sociometry ; Social networks Mathematical models
    Description / Table of Contents: ""CONTENTS""; ""PREFACE""; ""1 SOCIAL NETWORKS AND BLOCKMODELS""; ""1.1 AN INTUITIVE STATEMENT OF NETWORK IDEAS""; ""1.1.1 Fundamental types of social relations""; ""1.1.2 Types of relational data arrays""; ""1.2 BLOCKS AS PARTS OF NETWORKS""; ""1.2.1 Blocks""; ""1.3 SOME BLOCK TYPES""; ""1.4 SPECIFYING BLOCKMODELS""; ""1.4.1 Parent�child role systems""; ""1.4.2 Organizational hierarchies""; ""1.4.3 Systems of ranked clusters""; ""1.4.4 Baboon grooming networks""; ""1.5 CONVENTIONAL BLOCKMODELING""; ""1.5.1 Equivalence and blockmodeling""; ""1.6 GENERALIZED BLOCKMODELING""
    Description / Table of Contents: ""1.7 AN OUTLINE MAP OF THE TOPICS CONSIDERED""""2 NETWORK DATA SETS""; ""2.1 CLASSIC DATA SETS""; ""2.1.1 Sampson monastery data""; ""2.1.2 Bank wiring room data""; ""2.1.3 Newcomb fraternity data""; ""2.2 NEWER DATA SETS""; ""2.2.1 Little league baseball teams""; ""2.2.2 Political actor network""; ""2.2.3 Student government data""; ""2.2.4 Kansas search and rescue network""; ""2.2.5 A Bales-type group dynamics network""; ""2.2.6 Ragusan families marriage networks""; ""2.2.7 Two baboon grooming networks""; ""2.3 DATA SET PROPERTIES""; ""2.4 SOME ADDITIONAL REMARKS CONCERNING DATA""
    Description / Table of Contents: ""3 MATHEMATICAL PRELUDE""""3.1 BASIC SET THEORY""; ""3.2 RELATIONS""; ""3.2.1 Operations with binary relations""; ""3.2.2 Comparing relations""; ""3.2.3 Special operations""; ""3.3 FUNCTIONS""; ""3.3.1 Products of functions""; ""3.3.2 Relational homomorphisms""; ""3.4 BASIC ALGEBRA""; ""3.5 TRANSITIONS TO CHAPTERS 4 AND 9""; ""4 RELATIONS AND GRAPHS FOR NETWORK ANALYSIS""; ""4.1 GRAPHS""; ""4.1.1 Examples of graphs""; ""4.1.2 Traveling on a graph""; ""4.1.3 Graph coloring""; ""4.2 TYPES OF BINARY RELATIONS""; ""4.2.1 Properties of relations""; ""4.2.2 Closures""
    Description / Table of Contents: ""4.2.3 Computing the transitive closure""""4.2.4 Special elements""; ""4.2.5 Tournaments""; ""4.3 PARTITIONS AND EQUIVALENCE RELATIONS""; ""4.4 ACYCLIC RELATIONS""; ""4.4.1 Levels""; ""4.5 ORDERS""; ""4.5.1 Factorization""; ""4.5.2 Hasse diagram""; ""4.5.3 Numberings""; ""4.6 NETWORKS""; ""4.7 CENTRALITY IN NETWORKS""; ""4.7.1 Algorithmic aspects""; ""4.8 SUMMARY AND TRANSITION""; ""5 CLUSTERING APPROACHES""; ""5.1 AN INTRODUCTION TO CLUSTER ANALYTIC IDEAS""; ""5.2 USUAL CLUSTERING PROBLEMS""; ""5.2.1 An example""; ""5.2.2 The usual steps of solving clustering problems""
    Description / Table of Contents: ""5.3 (DIS)SIMILARITIES""""5.3.1 (Dis)similarity measures for numerical data""; ""5.3.2 (Dis)similarity measures for binary data""; ""5.4 CLUSTERING ALGORITHMS""; ""5.4.1 The hierarchical approach""; ""5.4.2 The leader algorithm""; ""5.4.3 The relocation algorithms""; ""5.5 CONSTRAINED CLUSTERING""; ""5.5.1 The constrained clustering problem""; ""5.5.2 Solving constrained clustering problems""; ""5.5.3 The structure enforcement coefficient""; ""5.5.4 An empirical example""; ""5.6 MULTICRITERIA CLUSTERING""; ""5.6.1 A multicriteria clustering problem""
    Description / Table of Contents: ""5.6.2 Solving discrete multicriteria optimization problems""
    Note: Includes bibliographical references (p. [363]-374) and indexes
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Volltext  (lizenzpflichtig)
    URL: Volltext  (lizenzpflichtig)
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  • 7
    ISBN: 9781119224686
    Language: English
    Pages: 1 online resource (428 pages)
    Series Statement: Wiley Series in Computational and Quantitative Social Science Ser.
    Parallel Title: Erscheint auch als
    DDC: 302.30113
    Keywords: Social networks-Mathematical models ; Sociometry ; Electronic books
    Abstract: Cover -- Title Page -- Copyright -- Brief Contents -- Contents -- List of Contributors -- Chapter 1 Introduction -- 1.1 On the Chapters -- 1.2 Looking Forward -- Chapter 2 Bibliometric Analyses of the Network Clustering Literature -- 2.1 Introduction -- 2.2 Data Collection and Cleaning -- 2.2.1 Most Cited/Citing Works -- 2.2.2 The Boundary Problem for Citation Networks -- 2.3 Analyses of the Citation Networks -- 2.3.1 Components -- 2.3.2 The CPM Path of the Main Citation Network -- 2.3.3 Key‐Route Paths -- 2.3.4 Positioning Sets of Selected Works in a Citation Network -- 2.4 Link Islands in the Clustering Network Literature -- 2.4.1 Island 10: Community Detection and Blockmodeling -- 2.4.2 Island 7: Engineering Geology -- 2.4.3 Island 9: Geophysics -- 2.4.4 Island 2: Electromagnetic Fields and their Impact on Humans -- 2.4.5 Limitations and Extensions -- 2.5 Authors -- 2.5.1 Productivity Inside Research Groups -- 2.5.2 Collaboration -- 2.5.3 Citations Among Authors Contributing to the Network Partitioning Literature -- 2.5.4 Citations Among Journals -- 2.5.5 Bibliographic Coupling -- 2.5.6 Linking Through a Jaccard Network -- 2.6 Summary and Future Work -- Acknowledgements -- References -- Chapter 3 Clustering Approaches to Networks -- 3.1 Introduction -- 3.2 Clustering -- 3.2.1 The Clustering Problem -- 3.2.2 Criterion Functions -- 3.2.3 Cluster‐Error Function/Examples -- 3.2.4 The Complexity of the Clustering Problem -- 3.3 Approaches to Clustering -- 3.3.1 Local Optimization -- 3.3.2 Dynamic Programming -- 3.3.3 Hierarchical Methods -- 3.3.4 Adding Hierarchical Methods -- 3.3.5 The Leaders Method -- 3.4 Clustering Graphs and Networks -- 3.5 Clustering in Graphs and Networks -- 3.5.1 An Indirect Approach -- 3.5.2 A Direct Approach: Blockmodeling -- 3.5.3 Graph Theoretic Approaches -- 3.6 Agglomerative Method for Relational Constraints.
    Note: Description based on publisher supplied metadata and other sources
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  • 8
    ISBN: 9780470714522 , 9781118915363 (Sekundärausgabe)
    Language: English
    Pages: 467 p.
    Edition: 1
    Edition: Online-Ausg. Online-Ressource ISBN 9781118915363
    Edition: [Online-Ausg.]
    Series Statement: Wiley Series in Computational and Quantitative Social Science
    DDC: 302.3
    RVK:
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    Keywords: Netzwerkanalyse ; Methodologie
    Abstract: This book explores social mechanisms that drive network change and link them to computationally sound models of changing structure to detect patterns. This text identifies the social processes generating these networks and how networks have evolved.
    Note: Description based upon print version of record , Online-Ausg.:
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  • 9
    ISBN: 0521840856
    Language: English
    Pages: XV, 384 S. , graph. Darst.
    Series Statement: Structural analysis in the social sciences 25
    Series Statement: Structural analysis in the social sciences
    DDC: 302.015195
    RVK:
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    Keywords: Social networks Mathematical models ; Sociometry ; Soziometrie ; Blockmodellanalyse ; Netzwerkanalyse ; Bibliografie ; Bibliografie ; Bibliografie ; Netzwerkanalyse ; Blockmodellanalyse ; Soziometrie
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  • 10
    ISBN: 9781108565691
    Language: English
    Pages: 1 Online-Ressource (xxx, 455 Seiten)
    Edition: Third edition
    Series Statement: Structural analysis in the social sciences 46
    Parallel Title: Erscheint auch als
    DDC: 302.30285
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    Keywords: Pajek (Electronic resource) ; Social networks / Mathematical models ; Social networks / Computer simulation ; Soziales Netzwerk ; Netzwerkanalyse ; Pajek ; Computersimulation ; Mathematisches Modell ; Netzwerkanalyse ; Computersimulation ; Pajek ; Soziales Netzwerk ; Mathematisches Modell
    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
    Note: Title from publisher's bibliographic system (viewed on 25 Jul 2018)
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Volltext  (URL des Erstveröffentlichers)
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