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Exploratory Social Network Analysis with Pajek

Exploratory Social Network Analysis with Pajek

$49.00 USD

Part of Structural Analysis in the Social Sciences

  • Date Published: September 2005
  • availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
  • format: Adobe eBook Reader
  • isbn: 9780511123566

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About the Authors
  • This was 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. An application section explaining how to perform the network analyses with Pajek software follows each theoretical section. Pajek software and datasets for all examples are freely available, so the reader can learn network analysis by doing it. In addition, each chapter offers case studies for practising 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.

    • Learning by doing: hands-on experience from day one with Pajek professional computer software for network analysis and visualization (operating under Windows 95 and later), computer procedures are extensively discussed and illustrated
    • Each chapter starts with visual exploration, followed by computation of formal indices, because visualization helps to understand the structural feature summarized by an index. No formulae; concepts from mathematical graph theory are presented verbatim and visually
    • An introduction to basic concepts from network analysis as well as their application in the social sciences; network concepts are presented in the frame of social theory; a wide variety of real life examples from several social sciences, which demonstrate research strategies in social network analysis
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    Product details

    • Date Published: September 2005
    • format: Adobe eBook Reader
    • isbn: 9780511123566
    • contains: 179 b/w illus.
    • availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
  • Table of Contents

    Part I. Fundamentals
    Section 1. Looking for Social Structure:
    1. Introduction
    2. Sociometry and sociogram
    3. Exploratory social network analysis
    4. Assembling a social network
    5. Summary
    6. Questions
    7. Assignment
    8. Further reading
    9 Answers
    Section 2. Attributes and Relations:
    1. Introduction
    2. Example: the world system
    3. Partitions
    4. Reduction of a network
    5. Vectors and coordinates
    6. Network analysis and statistics
    7. Summary
    8. Questions
    9. Assignment
    10. Further reading
    11. Answers
    Part II. Cohesion
    Section 3. Cohesive Subgroups:
    1. Introduction
    2. Example
    3. Density and degree
    4. Components
    5. Cores
    6. Cliques and complete subnetworks
    7. Summary
    8. Questions
    9. Assignment
    10. Further reading
    11. Answers
    Section 4. Sentiments and Friendship:
    1. Introduction
    2. Balance theory
    3. Example
    4. Detecting structural balance and clusterability
    5. Development in time
    6. Summary
    7. Questions
    8. Assignment
    9. Further reading
    10. Answers
    Section 5. Affiliations:
    1. Introduction
    2. Example
    3. Two-mode and one-mode networks
    4. M-slices
    5. The third dimension
    6. Summary
    7. Questions
    8. Assignment
    9. Further reading
    10. Answers
    Part III. Brokerage: Section 6. Center and periphery:
    1. Introduction
    2. Example
    3. Distance
    4. Betweenness
    5. Summary
    6. Questions
    7. Assignment
    8. Further reading
    9. Answers
    Section 7. Brokers and Bridges:
    1. Introduction
    2. Example
    3. Bridges and bi-components
    4. Ego-networks and constraint
    5. Affiliations and brokerage roles
    6. Summary
    7. Questions
    8. Assignment
    9. Further reading
    10. Answers
    Section 8. Diffusion:
    1. Example
    2. Contagion
    3. Exposure and thresholds
    4. Critical mass
    5. Summary
    6. Questions
    7. Assignment
    8. Further reading
    9. Answers
    Part IV. Ranking: Section 9. Prestige:
    1. Introduction
    2. Example
    3. Popularity and indegree
    4. Correlation
    5. Domains
    6. Proximity prestige
    7. Summary
    8. Questions
    9. Assignment
    10. Further reading
    11. Answers
    Section 10. Ranking:
    1. Introduction
    2. Example
    3. Triadic analysis
    4. Acyclic networks
    5. Symmetric-acyclic decomposition
    6. Summary
    7. Questions
    8. Assignment
    9. Further reading
    10. Answers
    Section 11. Genealogies and Citations:
    1. Introduction
    2. Example I: Genealogy of the Ragusan nobility
    3. Family trees
    4. Social research on genealogies
    5. Example II: Citations among papers on network centrality
    6. Citations
    7. Summary
    8. Questions
    9. Assignment 1
    10. Assignment 2
    11. Further reading
    12. Answers
    Part V. Roles: Section 12. Blockmodels
    1. Introduction
    2. Matrices and permutation
    3. Roles and positions: equivalence
    4. Blockmodeling
    5. Summary
    6. Questions
    7. Assignment
    8. Further reading
    9 Answers
    Appendices.

  • Authors

    Wouter de Nooy, Erasmus Universiteit Rotterdam
    Professor Wouter De Nooy specializes in social network analysis and applications of network analysis to the fields of literature, the visual arts, music and arts policy. His international publications have appeared in Poetics and Social Networks. He is lecturer in methodology and sociology of the arts, Department of History and Arts Studies, Erasmus University, Rotterdam.

    Andrej Mrvar, University of Ljubljana
    Professor Andrej Mrvar is assistant Professor of Social Science Informatics at the University of Ljubljana, Slovenia. He has won several awards for Graph Drawings for competitions between 1995 - 2000. He has edited Metodoloski zvezki since 2000.

    Vladimir Batagelj, University of Ljubljana
    Professor Vladimir Batagelj is professor of Discrete and Computational Mathematics at the University of Ljubljana, Slovenia. Member of editorial boards of Informatica and Journal of Social Structure. He has authored several papers in Communications of ACM, Psychometrika, Journal of Classification, Social Networks, Discrete Mathematics, Algorithmica, Journal of Mathematical Sociology, Quality and Quantity, Informatica, Lecture Notes in Computer Science, Studies in Classification, Data Analysis, and Knowledge Organization.

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