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Introduction to Social Network Methods

Nguồn ngoài

Introduction to Social Network Methods

This on-line textbook introduces many of the basics of formal approaches to the analysis of social networks.

Tác giả
Robert Hanneman & Mark Riddle
Nhà xuất bản
University of California, Riverside
Nguồn
LibreTexts
Ngôn ngữ
EN
Danh mục
Công nghệ thông tin
Mục lục· 116 mục
  1. 01: Social Network Data
  2. 1.01: Introduction - What's different about social network data
  3. 1.02: Nodes
  4. 1.03: Relations
  5. 1.04: Scales of Measurement
  6. 1.05: A note on Statistics and Social Network Data
  7. 02: Why Formal Methods
  8. 2.01: Introduction
  9. 2.02: Efficiency
  10. 2.03: Using computers
  11. 2.04: Seeing patterns
  12. 2.05: Summary
  13. 03: Using Graphs to Represent Social Relations
  14. 3.0E: 3.E: Using graphs to represent social relations (Exercises)
  15. 3.01: Introduction - Representing networks with graphs
  16. 3.02: Graphs and Sociograms
  17. 3.03: Kinds of Graphs
  18. 3.04: Summary
  19. 04: Working with Netdraw to Visualize Graphs
  20. 4.01: Introduction - A picture is worth...
  21. 4.02: Node Attributes
  22. 4.03: Relation Properties
  23. 4.04: Location, location, location
  24. 4.05: Highlighting parts of the network
  25. 4.06: A few hints on data handling with NetDraw
  26. 05: Using Matrices to Represent Social Relations
  27. 5.0E: 5.E: Using matrices to represent social relations (Exercises)
  28. 5.0S: 5.S: Using Matrices to Represent Social Relations (Summary)
  29. 5.01: What is a matrix
  30. 5.02: The adjacency matrix
  31. 5.03: Matrix permutation blocks and images
  32. 5.04: Doing mathematical operations on matrices
  33. 06: Working with Network Data
  34. 6.0S: 6.S: Working with Network Data (Summary)
  35. 6.01: Manipulating Network Data Structures
  36. 6.02: Making UCINET Datasets
  37. 6.03: Transforming Data Values
  38. 6.04: File Handling Tools
  39. 6.05: Selecting Subsets of the Data
  40. 6.06: Making New Kinds of Graphs from Existing Graphs
  41. 07: Connection
  42. 7.0E: 7.E: Connection (Exercises)
  43. 7.0S: 7.S: Connection (Summary)
  44. 7.01: Networks and Actors
  45. 7.02: Connection
  46. 7.03: Distance
  47. 08: Embedding
  48. 8.01: Introduction
  49. 8.02: Density
  50. 8.03: Reciprocity
  51. 8.04: Transitivity
  52. 8.05: Clustering
  53. 8.06: Group-External and Group-Internal Ties
  54. 8.07: Krackhardt's Graph Theoretical Dimensions of Hierarchy
  55. 8.08: Summary
  56. 09: Ego Networks
  57. 9.0S: 9.S: Ego Networks (Summary)
  58. 9.01: Introduction to Ego Networks
  59. 9.02: Ego Network Data
  60. 9.03: Ego Network Density
  61. 9.04: Structural Holes
  62. 9.05: Brokerage
  63. 10: Centrality and Power
  64. 10.0E: 10.E: Centrality and Power (Exercises)
  65. 10.0S: 10.S: Summary
  66. 10.01: Introduction to Centrality and Power
  67. 10.02: Degree Centrality
  68. 10.03: Closeness Centrality
  69. 10.04: Betweenness Centrality
  70. 11: Cliques and Sub-groups
  71. 11.0E: 11.E: Cliques and Sub-groups (Exercises)
  72. 11.0S: 11.S: Cliques and Sub-groups (Summary)
  73. 11.01: Introduction to Cliques and Sub-groups
  74. 11.02: Bottom-up Approaches
  75. 11.03: Top-down Approaches
  76. 12: Positions and Roles - The Idea of Equivalence
  77. 12.0E: 12.E: Positions and Roles - The Idea of Equivalence (Exercises)
  78. 12.0S: 12.S: Positions and Roles - The Idea of Equivalence (Summary)
  79. 12.01: Introduction to the Idea of Equivalence
  80. 12.02: Approaches to Network Positions and Social Roles
  81. 12.03: Defining Equivalence or Similarity
  82. 13: Measures of Similarity and Structural Equivalence
  83. 13.0S: 13.S: Measures of Similarity and Structural Equivalence (Summary)
  84. 13.01: Introduction to Measures of Similarity and Structural Equivalence
  85. Dissimilarity
  86. 13.03: Visualizing Similarity and Distance
  87. 13.04: Describing Structural Equivalence Sets
  88. 14: Automorphic Equivalence
  89. 14.0S: 14.S: Automorphic Equivalence (Summary)
  90. 14.01: Defining automorphic equivalence
  91. 14.02: Uses of the Concept
  92. 14.03: Finding Equivalence Sets
  93. 15: Regular Equivalence
  94. 15.0S: 15.S: Regular Equivalence (Summary)
  95. 15.01: Defining Regular Equivalence
  96. 15.02: Uses of the Concept
  97. 15.03: Finding Equivalence Sets
  98. 16: Multiplex Networks
  99. 16.0S: 16.S: Multiplex Networks (Summary)
  100. 16.01: Introduction to Multiplex Networks
  101. 16.02: Multiplex Data Basics
  102. 16.03: Role Algebra for Mulitplex Data
  103. 17: Two-Mode Networks
  104. 17.0S: 17.S: Two-Mode Networks (Summary)
  105. 17.01: Introduction to Two-Mode Networks
  106. 17.02: Bipartite Data Structures
  107. 17.03: Visualizing Two-Mode Data
  108. 17.04: Quantitative Analysis
  109. 17.05: Qualitative Analysis
  110. 18: Some Statistical Tools
  111. 18.0S: 18.S: Some Statistical Tools (Summary)
  112. 18.01: Introduction to Statistical Tools
  113. 18.02: Describing One Network
  114. 18.03: Comparing Two Relations for the Same Set of Actors
  115. 18.04: Explaining Attributes of Networked Actors
  116. 18.05: Explaining the Relations Among Actors in a Network