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Understanding Large Temporal Networks and Spatial Networks: Exploration, Pattern Searching, Visualization and Network Evolution

Book Description

This book explores social mechanisms that drive network change and link them to computationally sound models of changing structure to detect patterns. This text identifies the social processes generating these networks and how networks have evolved.

Table of Contents

  1. Cover
  2. Wiley Series in Computational and Quantitative Social Science
  3. Title Page
  4. Copyright
  5. Dedication
  6. Preface
  7. Chapter 1: Temporal and Spatial Networks
    1. 1.1 Modern Social Network Analysis
    2. 1.2 Network Sizes
    3. 1.3 Substantive Concerns
    4. 1.4 Computational Methods
    5. 1.5 Data for Large Temporal Networks
    6. 1.6 Induction and Deduction
  8. Chapter 2: Foundations of Methods for Large Networks
    1. 2.1 Networks
    2. 2.2 Types of Networks
    3. 2.3 Large Networks
    4. 2.4 Strategies for Analyzing Large Networks
    5. 2.5 Statistical Network Measures
    6. 2.6 Subnetworks
    7. 2.7 Connectivity Properties of Networks
    8. 2.8 Triangular and Short Cycle Connectivities
    9. 2.9 Islands
    10. 2.10 Cores and Generalized Cores
    11. 2.11 Important Vertices in Networks
    12. 2.12 Transition to Methods for Large Networks
  9. Chapter 3: Methods for Large Networks
    1. 3.1 Acyclic Networks
    2. 3.2 SPC Weights in Acyclic Networks
    3. 3.3 Probabilistic Flow in Acyclic Network
    4. 3.4 Nonacyclic Citation Networks
    5. 3.5 Two-Mode Networks from Data Tables
    6. 3.6 Bibliographic Networks
    7. 3.7 Weights
    8. 3.8 Pathfinder
    9. 3.9 Clustering, Blockmodeling, and Community Detection
    10. 3.10 Clustering Symbolic Data
    11. 3.11 Approaches to Temporal Networks
    12. 3.12 Levels of Analysis
    13. 3.13 Transition to Substantive Topics
  10. Chapter 4: Scientific Citation and Other Bibliographic Networks
    1. 4.1 The Centrality Citation Network
    2. 4.2 Preliminary Data Analyses
    3. 4.3 Transforming a Citation Network into an Acyclic Network
    4. 4.4 The Most Important Works
    5. 4.5 SPC Weights
    6. 4.6 Line Cuts
    7. 4.7 Line Islands
    8. 4.8 Other Relevant Subnetworks for a Bounded Network
    9. 4.9 Collaboration Networks
    10. 4.10 A Brief Look at the SNA Literature SN5 Networks
    11. 4.11 On the Centrality and SNA Collaboration Networks
    12. References
  11. Chapter 5: Citation Patterns in Temporal United States Patent Data
    1. 5.1 Patents
    2. 5.2 Supreme Court Decisions Regarding Patents
    3. 5.3 The 1976–2006 Patent Data
    4. 5.4 Structural Variables Through Time
    5. 5.5 Some Patterns of Technological Development
    6. 5.6 Important Subnetworks
    7. 5.7 Citation Patterns
    8. 5.8 Comparing Citation Patterns for two Time Intervals
    9. 5.9 Summary and Conclusions
  12. Chapter 6: The US Supreme Court Citation Network
    1. 6.1 Introduction
    2. 6.2 Co-cited Islands of Supreme Court Decisions
    3. 6.3 A Native American Line Island
    4. 6.4 A ‘Perceived Threats to Social Order’ Line Island
    5. 6.5 Other Perceived Threats
    6. 6.6 The Dred Scott Decision
    7. 6.7 Further Reflections on the Supreme Court Citation Network
  13. Chapter 7: Football as the World's Game
    1. 7.1 A Brief Historical Overview
    2. 7.2 Football Clubs
    3. 7.3 Football Players
    4. 7.4 Football in England
    5. 7.5 Player Migrations
    6. 7.6 Institutional Arrangements and the Organization of Football
    7. 7.7 Court Rulings
    8. 7.8 Specific Factors Impacting Football Migration
    9. 7.9 Some Arguments and Propositions
    10. 7.10 Some Preliminary Results
    11. 7.11 Player Ages When Recruited to the EPL
    12. 7.12 A Partial Summary of Results
  14. Chapter 8: Networks of Player Movements to the EPL
    1. 8.1 Success in the EPL
    2. 8.2 The Overall Presence of Other Countries in the EPL
    3. 8.3 Network Flows of Footballers Between Clubs to Reach the EPL
    4. 8.4 Moves from EPL Clubs
    5. 8.5 Moves Solely Within the EPL
    6. 8.6 All Trails of Footballers to the EPL
    7. 8.7 Summary and Conclusions
  15. Chapter 9: Mapping Spatial Diversity in the United States of America
    1. 9.1 Mapping Nations as Spatial Units of the United States
    2. 9.2 Representing Networks in Space
    3. 9.3 Clustering with a Relational Constraint
    4. 9.4 Data for Constrained Spatial Clustering
    5. 9.5 Clustering the US Counties with a Spatial Relational Constraint
    6. 9.6 Summary
  16. Chapter 10: On Studying Large Networks
    1. 10.1 Substance
    2. 10.2 Methods, Techniques, and Algorithms
    3. 10.3 Network Data
    4. 10.4 Surprises and Issues Triggered by Them
    5. 10.5 Future Work
    6. 10.6 Two Final Comments
  17. Appendix: Data Documentation
    1. A.1 Bibliographic Networks
    2. A.2 Patent Data
    3. A.3 Supreme Court Data
    4. A.4 Football Data
    5. A.5 The USA Spatial County Network
  18. References
  19. Person Index
  20. Subject Index
  21. End User License Agreement