Summary

An extensively revised and expanded second edition of the successful textbook on social network analysis integrating theory, applications and network analysis using Pajek. The main structural concepts and their applications in social research are introduced with exercises. Pajek software and data sets are available so readers can learn network analysis through application and case studies. Readers will have the knowledge, skill and tools to apply social network analysis across the social sciences, from anthropology and sociology to business administration and history. This second edition has a new chapter on random network models, for example, scale-free and small-world networks and Monte Carlo simulation; discussion of multiple relations, islands and matrix multiplication; new structural indices such as eigenvector centrality, degree distribution and clustering coefficients; new visualization options that include circular layout for partitions and drawing a network geographically as a 3D surface; and using Unicode labels.

Author Biography

Wouter de Nooy is Associate Professor in the Department of Communication Science at the University of Amsterdam, The Netherlands, and a member of the Amsterdam School of Communication Research (ASCoR) and the Netherlands School of Communication Research (NESCoR). Andrej Mrvar is Associate Professor of Social Science Informatics on the Faculty of Social Sciences, University of Ljubljana, Slovenia. He won several awards for graph drawings at competitions between 1995 and 2005. He has edited Metodoloski zvezki - Advances in Methodology and Statistics since 2000. Vladimir Batagelj is Professor of Discrete and Computational Mathematics at the University of Ljubljana, Slovenia, and a member of the editorial boards of Informatica and Journal of Social Structure. He has authored several articles in Communications of the 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.

Figures	p. xv
Tables	p. xxi
Preface to the Second Edition	p. xxiii
Preface to the First Edition	p. xxv
Fundamentals
Looking for Social Structure	p. 3
Introduction	p. 3
Sociometry and Sociogram	p. 3
Exploratory Social Network Analysis	p. 5
Network Definition	p. 6
Manipulation	p. 12
Calculation	p. 15
Visualization	p. 17
Assembling a Social Network	p. 25
Summary	p. 29
Questions	p. 29
Assignment	p. 30
Further Reading	p. 31
Answers	p. 31
Attributes and Relations	p. 34
Introduction	p. 34
Example: The World System	p. 34
Partitions	p. 36
Reduction of a Network	p. 43
Local View	p. 43
Global View	p. 46
Contextual View	p. 49
Vectors and Coordinates	p. 50
Network Analysis and Statistics	p. 57
Summary	p. 60
Questions	p. 61
Assignment	p. 62
Further Reading	p. 62
Answers	p. 63
Cohesion
Cohesive Subgroups	p. 71
Introduction	p. 71
Example	p. 71
Density and Degree	p. 73
Components	p. 77
Cores	p. 81
Cliques and Complete Subnetworks	p. 84
Summary	p. 90
Questions	p. 92
Assignment	p. 94
Further Reading	p. 94
Answers	p. 94
Sentiments and Friendship	p. 97
Introduction	p. 97
Balance Theory	p. 97
Example	p. 100
Detecting Structural Balance and Clusterability	p. 101
Development in Time	p. 107
Summary	p. 110
Questions	p. 111
Assignment	p. 112
Further Reading	p. 113
Answers	p. 113
Affiliations	p. 116
Introduction	p. 116
Example	p. 117
Two-Mode and One-Mode Networks	p. 118
Islands	p. 124
The Third Dimension	p. 129
Summary	p. 133
Questions	p. 133
Assignment	p. 134
Further Reading	p. 135
Answers	p. 136
Brokerage
Center and Periphery	p. 141
Introduction	p. 141
Example	p. 141
Distance	p. 143
Betweenness	p. 150
Eigenvector Centrality	p. 153
summary	p. 154
Questions	p. 155
Assignment	p. 155
Further Reading	p. 156
Answers	p. 157
Brokers and Bridges	p. 159
Introduction	p. 159
Example	p. 160
Bridges and Bi-Components	p. 161
Ego-Networks and Constraint	p. 166
Affiliations and Brokerage Roles	p. 173
Summary	p. 178
Questions	p. 179
Assignment	p. 180
Further Reading	p. 181
Answers	p. 182
Diffusion	p. 186
Example	p. 186
Contagion	p. 189
Exposure and Thresholds	p. 193
Critical Mass	p. 200
Summary	p. 205
Questions	p. 207
Assignment	p. 208
Further Reading	p. 208
Answers	p. 209
Ranking
Prestige	p. 215
Introduction	p. 215
Example	p. 216
Popularity and Indegree	p. 217
Correlation	p. 219
Domains	p. 221
Proximity Prestige	p. 225
Summary	p. 228
Questions	p. 229
Assignment	p. 230
Further Reading	p. 231
Answers	p. 232
Ranking	p. 234
Introduction	p. 234
Example	p. 235
Triadic Analysis	p. 235
Acyclic Networks	p. 243
Symmetric-Acyclic Decomposition	p. 246
Summary	p. 252
Questions	p. 253
Assignment	p. 255
Further Reading	p. 255
Answers	p. 256
Genealogies and Citations	p. 259
Introduction	p. 259
Example I: Genealogy of the Ragusan Nobility	p. 259
Family Trees	p. 260
Social Research on Genealogies	p. 268
Example II: Citations Among Papers on Network Centrality	p. 278
Citations	p. 279
Summary	p. 288
Questions	p. 289
Assignment 1	p. 290
Assignment 2	p. 290
Further Reading	p. 290
Answers	p. 291
Roles
Blockmodels	p. 299
Introduction	p. 299
Matrices and Permutation	p. 300
Roles and Positions: Equivalence	p. 306
Blockmodeling	p. 315
Blockmodel	p. 315
Blockmodeling	p. 317
Regular Equivalence	p. 322
Summary	p. 327
Questions	p. 328
Assignment	p. 330
Further Reading	p. 331
Answers	p. 332
Random Graph Models	p. 336
Introduction	p. 336
Example	p. 338
Modeling Overall Network Structure	p. 340
Classic Uniform Models	p. 341
Small-World Models	p. 345
Preferential Attachment Models	p. 349
Monte Carlo Simulation	p. 356
Summary	p. 360
Questions	p. 362
Assignment	p. 364
Further Reading	p. 364
Answers	p. 365
Getting Started with Pajek	p. 369
Installation	p. 369
Network Data Formats	p. 369
Creating Network Files for Pajek	p. 371
Within Pajek	p. 371
Helper Software	p. 373
Word Processor	p. 373
Relational Database	p. 376
Limitations	p. 381
Updates of Pajek	p. 382
Exporting Visualizations	p. 383
Export Formats	p. 383
Bitmap	p. 383
Encapsulated PostScript	p. 384
Scalable Vector Graphics	p. 385
Virtual Reality Modeling Language andX3D	p. 387
MDLMOL and Kinemages	p. 388
Layout Options	p. 389
Top Frame on the Left - EPS/SVG Vertex Default	p. 390
Bottom Frame on the Left - EPS/SVG Line Default	p. 392
Top Frame on the Right	p. 394
Middle Frame on the Right	p. 394
Bottom Frame on the Right - EPS Border	p. 395
Shortcut Key Combinations	p. 396
Main Screen	p. 396
Hierarchy Edit Screen	p. 397
Draw Screen	p. 397
Glossary	p. 399
Index of Pajek and R Commands	p. 409
Subject Index	p. 414
Table of Contents provided by Ingram. All Rights Reserved.

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