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Exploratory Social Network Analysis With Pajek.pdf

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    Cover Page
    Exploratory Network Analysis with Pajek
    Series-title
    Title
    Copyright
    ISBN 0521841739
    Dedication
    Contents (with page links)
    Illustrations
    Tables
    Preface（ＯＫ）
    Overview
    Justification
    Acknowledgments
    Part I Fundamentals
    1 Looking for Social Structure
    1.1 Introduction
    1.2 Sociometry and Sociogram
    帅！
    1.3 Exploratory Social Network Analysis（ＯＫ）
    1.3.1 Network Definition
    介绍net格式文件内容
    1.3.2 Manipulation
    精简网络
    1.3.3 Calculation
    1.3.4 Visualization
    1.3.4.1 Automatic Drawing
    1.3.4.2 Manual Drawing
    1.3.4.3 Saving a Drawing
    边长，权重，相关？
    优化网络图
    保存网络图
    1.4 Assembling a Social Network
    如何创造net文件
    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
    世界贸易net文件
    2.3 Partitions定义
    partition文件格式，内容
    2.4 Reduction of a Network
    2.4.1 Local View
    2.4.2 Global View
    2.4.3 Contextual View
    用Partition压缩网络
    提取subnetwork（某一类）
    缩减，只看分类的全局图
    只考虑分类中的一节点和其分类的所有节点关系
    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
    Part 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
    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 m-Slices
    5.5 The Third Dimension
    5.6 Summary
    5.7 Questions
    5.8 Assignment
    5.9 Further Reading
    5.10 Answers
    Part III Brokerage
    6 Center and Periphery
    6.1 Introduction
    6.2 Example
    6.3 Distance
    6.4 Betweenness
    6.5 Summary
    6.6 Questions
    6.7 Assignment
    6.8 Further Reading
    6.9 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
    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
    Part 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 Introduction
    11.1 Introduction
    11.2 Example I: Genealogy of the Ragusan Nobility
    11.3 Family Trees
    11.4 Social Research on Genealogies
    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
    Part V Roles
    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
    Appendix 1 Getting Started with Pajek
    A1.1 Installation
    A1.2 Network Data Formats
    A1.3 Creating Network Files for Pajek
    A1.3.1 Within Pajek
    A1.3.2 Word Processor
    A1.3.3 Relational Database
    A1.4 Limitations
    A1.5 Updates of Pajek
    Appendix 2 Exporting Visualizations
    A2.1 Export Formats
    A2.1.1 Bitmap
    A2.1.2 Encapsulated PostScript
    A2.1.3 Scalable Vector Graphics
    A2.1.4 Virtual Reality Modeling Language
    A2.1.5 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
    A2.2.5 Bottom Frame on the Right – SVG Default
    Appendix 3
    Main Screen
    Hierarchy Edit Screen
    Draw Screen
    Glossary
    Index of Pajek Commands
    Subject Index
    This page intentionally left blank
    Exploratory Network Analysis with Pajek 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 explain- ing 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 analy- sis. 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. Wouter de Nooy specializes in social network analysis and ap- plications of network analysis to the fields of literature, the vi- sual 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 is assistant Professor of Social Science Informat- ics at the University of Ljubljana, Slovenia. He has won several awards for graph drawings at competitions between 1995 and 2000. He has edited Metodoloski zvezki since 2000. Vladimir Batagelj is Professor of Discrete and Computational Mathematics at the University of Ljubljana, Slovenia and is a member of the editorial boards of Informatica and Journal of Social Structure. He has authored several articles in Com- munications 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.
    Structural Analysis in the Social Sciences Mark Granovetter, editor The series Structural Analysis in the Social Sciences presents approaches that explain social behavior and institutions by reference to relations among such concrete entities as persons and organizations. This contrasts with at least four other popular strategies: (a) reductionist attempts to explain by a focus on individuals alone; (b) explanations stressing the casual primacy of such abstract concepts as ideas, values, mental har- monies, and cognitive maps (thus, “structuralism” on the Continent should be distin- guished from structural analysis in the present sense); (c) technological and material determination; (d) explanation using “variables” as the main analytic concepts (as in the “structural equation” models that dominated much of the sociology of the 1970s), where structure is that connecting variables rather that actual social entities. The social network approach is an important example of the strategy of structural analysis; the series also draws on social science theory and research that is not framed explicitly in network terms, but stresses the importance of relations rather than the atomization of reduction or the determination of ideas, technology, or material condi- tions. Though the structural perspective has become extremely popular and influential in all the social sciences, it does not have a coherent identity, and no series yet pulls together such work under a single rubric. By bringing the achievements of structurally oriented scholars to a wider public, the Structural Analysis series hopes to encourage the use of this very fruitful approach. Mark Granovetter Other Books in the Series 1. Mark S. Mizruchi and Michael Schwartz, eds., Intercorporate Relations: The Structural Analysis of Business 2. Barry Wellman and S. D. Berkowitz, eds., Social Structures: A Network Approach 3. Ronald L. Brieger, ed., Social Mobility and Social Structure 4. David Knoke, Political Networks: The Structural Perspective 5. John L. Campbell, J. Rogers Hollingsworth, and Leon N. Lindberg, eds., Gover- nance of the American Economy 6. Kyriakos Kontopoulos, The Logics of Social Structure 7. Philippa Pattison, Algebraic Models for Social Structure 8. Stanley Wasserman and Katherine Faust, Social Network Analysis: Methods and Applications 9. Gary Herrigel, Industrial Constructions: The Sources of German Industrial Power 10. Philippe Bourgois, In Search of Respect: Selling Crack in El Barrio 11. Per Hage and Frank Harary, Island Networks: Communication, Kinship, and Classification Structures in Oceana 12. Thomas Schweizer and Douglas R. White, eds., Kinship, Networks and Exchange 13. Noah E. Friedkin, A Structural Theory of Social Influence 14. David Wank, Commodifying Communism: Business, Trust, and Politics in a Chinese City 15. Rebecca Adams and Graham Allan, Placing Friendship in Context 16. Robert L. Nelson and William P. Bridges, Legalizing Gender Inequality: Courts, Markets and Unequal Pay for Women in America 17. Robert Freeland, The Struggle for Control of the Modern Corporation: Organi- zational Change at General Motors, 1924–1970 18. Yi-min Lin, Between Politics and Markets: Firms, Competition, and Institutional Change in Post-Mao China 19. Nan Lin, Social Capital: A Theory of Social Structure and Action 20. Christopher Ansell, Schism and Solidarity in Social Movements: The Politics of Labor in the French Third Republic 21. Thomas Gold, Doug Guthrie, and David Wank, eds., Social Connections in China: Institutions, Culture, and the Changing Nature of Guanxi 22. Roberto Franzosi, From Words to Numbers 23. Sean O’Riain, Politics of High Tech Growth 24. Michael Gerlach and James Lincoln, Japan’s Network Economy 25. Patrick Doreian, Vladimir Batagelj, and Anuˇska Ferligoj, Generalized Block- modeling 26. Eiko Ikegami, Bonds of Civility: Aesthetic Networks and Political Origins of Japanese Culture 27. Wouter de Nooy, Andrej Mrvar, and Vladimir Batagelj, Exploratory Network Analysis with Pajek
    Exploratory Network Analysis with Pajek WOUTER DE NOOY Erasmus University Rotterdam ANDREJ MRVAR University of Ljubljana VLADIMIR BATAGELJ University of Ljubljana
       Cambridge, New York, Melbourne, Madrid, Cape Town, Singapore, São Paulo Cambridge University Press The Edinburgh Building, Cambridge  , UK Published in the United States of America by Cambridge University Press, New York www.cambridge.org Information on this title: www.cambridg e.org /9780521841733 © Cambridge University Press 2005 This publication is in copyright. Subject to statutory exception and to the provision of relevant collective licensing agreements, no reproduction of any part may take place without the written permission of Cambridge University Press. First published in print format 2005 - - - - - - ---- --- eBook (NetLibrary) eBook (NetLibrary) ---- --- hardback hardback ---- --- paperback paperback Cambridge University Press has no responsibility for the persistence or accuracy of s for external or third-party internet websites referred to in this publication, and does not guarantee that any content on such websites is, or will remain, accurate or appropriate.
    To Anuˇska, who makes things happen
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