This is the first textbook on social network analysis integrating theory, applications, and professional software for performing network analysis (Pajek). 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 practicing network analysis. The book will enable the reader to gain the knowledge, skills, and tools to apply social network analysis in all social sciences, ranging from anthropology and sociology to business administration and history.
Author(s): Wouter de Nooy, Andrej Mrvar, Vladimir Batagelj
Series: Structural Analysis in the Social Sciences
Publisher: Cambridge University Press
Year: 2005
Language: English
Pages: 362
Cover Page......Page 1
Exploratory Network Analysis with Pajek......Page 3
Series-title......Page 4
Title......Page 5
Copyright......Page 6
Dedication......Page 7
Contents
......Page 9
Illustrations......Page 15
Tables......Page 21
Overview......Page 23
Justification......Page 25
Acknowledgments......Page 27
Part I Fundamentals......Page 29
1.2 Sociometry and Sociogram......Page 31
1.3 Exploratory Social Network Analysis......Page 33
1.3.1 Network Definition......Page 34
1.3.2 Manipulation......Page 38
1.3.3 Calculation......Page 40
1.3.4 Visualization......Page 42
1.3.4.1 Automatic Drawing......Page 44
1.3.4.2 Manual Drawing......Page 45
1.3.4.3 Saving a Drawing......Page 47
1.4 Assembling a Social Network......Page 49
1.5 Summary......Page 52
1.6 Questions......Page 53
1.9 Answers......Page 54
2.2 Example: The World System......Page 57
2.3 Partitions......Page 59
2.4.1 Local View......Page 64
2.4.2 Global View......Page 67
2.4.3 Contextual View......Page 69
2.5 Vectors and Coordinates......Page 71
2.6 Network Analysis and Statistics......Page 76
2.7 Summary......Page 79
2.8 Questions......Page 80
2.10 Further Reading......Page 81
2.11 Answers......Page 82
Part II Cohesion......Page 87
3.2 Example......Page 89
3.3 Density and Degree......Page 90
3.4 Components......Page 94
3.5 Cores......Page 98
3.6 Cliques and Complete Subnetworks......Page 101
3.7 Summary......Page 105
3.8 Questions......Page 107
3.9 Assignment......Page 109
3.11 Answers......Page 110
4.2 Balance Theory......Page 112
4.3 Example......Page 115
4.4 Detecting Structural Balance and Clusterability......Page 116
4.5 Development in Time......Page 120
4.6 Summary......Page 123
4.7 Questions......Page 124
4.8 Assignment......Page 125
4.10 Answers......Page 126
5.1 Introduction......Page 129
5.2 Example......Page 130
5.3 Two-Mode and One-Mode Networks......Page 131
5.4 m-Slices......Page 137
5.5 The Third Dimension......Page 141
5.6 Summary......Page 144
5.7 Questions......Page 145
5.9 Further Reading......Page 146
5.10 Answers......Page 147
Part III Brokerage......Page 149
6.2 Example......Page 151
6.3 Distance......Page 153
6.4 Betweenness......Page 159
6.5 Summary......Page 161
6.7 Assignment......Page 162
6.9 Answers......Page 163
7.2 Example......Page 166
7.3 Bridges and Bi-Components......Page 168
7.4 Ego-Networks and Constraint......Page 172
7.5 Affiliations and Brokerage Roles......Page 178
7.6 Summary......Page 182
7.7 Questions......Page 183
7.8 Assignment......Page 184
7.9 Further Reading......Page 185
7.10 Answers......Page 186
8.1 Example......Page 189
8.2 Contagion......Page 191
8.3 Exposure and Thresholds......Page 195
8.4 Critical Mass......Page 201
8.5 Summary......Page 206
8.6 Questions......Page 207
8.7 Assignment......Page 208
8.9 Answers......Page 209
Part IV Ranking......Page 213
9.1 Introduction......Page 215
9.2 Example......Page 216
9.3 Popularity and Indegree......Page 217
9.4 Correlation......Page 219
9.5 Domains......Page 221
9.6 Proximity Prestige......Page 224
9.7 Summary......Page 226
9.8 Questions......Page 227
9.9 Assignment......Page 228
9.10 Further Reading......Page 229
9.11 Answers......Page 230
10.1 Introduction......Page 232
10.3 Triadic Analysis......Page 233
10.4 Acyclic Networks......Page 240
10.5 Symmetric-Acyclic Decomposition......Page 242
10.6 Summary......Page 247
10.7 Questions......Page 248
10.9 Further Reading......Page 250
10.10 Answers......Page 251
11.2 Example I: Genealogy of the Ragusan Nobility......Page 254
11.3 Family Trees......Page 255
11.4 Social Research on Genealogies......Page 261
11.5 Example II: Citations among Papers on Network Centrality......Page 270
11.6 Citations......Page 271
11.7 Summary......Page 278
11.8 Questions......Page 279
11.11 Further Reading......Page 280
11.12 Answers......Page 281
Part V Roles......Page 285
12.2 Matrices and Permutation......Page 287
12.3 Roles and Positions: Equivalence......Page 293
12.4.1 Blockmodel......Page 301
12.4.2 Blockmodeling......Page 302
12.4.3 Regular Equivalence......Page 308
12.5 Summary......Page 312
12.6 Questions......Page 313
12.7 Assignment......Page 315
12.9 Answers......Page 316
A1.2 Network Data Formats......Page 320
A1.3.1 Within Pajek......Page 322
A1.3.2 Word Processor......Page 323
A1.3.3 Relational Database......Page 326
A1.5 Updates of Pajek......Page 330
A2.1.2 Encapsulated PostScript......Page 331
A2.1.3 Scalable Vector Graphics......Page 333
A2.1.4 Virtual Reality Modeling Language......Page 334
A2.1.5 MDL MOL and Kinemages......Page 335
A2.2 Layout Options......Page 336
A2.2.1 Top Frame on the Left – EPS/SVG Vertex Default......Page 337
A2.2.2 Bottom Frame on the Left – EPS/SVG Line Default......Page 338
A2.2.3 Top Frame on the Right......Page 339
A2.2.5 Bottom Frame on the Right – SVG Default......Page 340
Hierarchy Edit Screen......Page 342
Draw Screen......Page 343
Glossary......Page 345
Index of Pajek Commands......Page 355
Subject Index......Page 358
