(Ebook) Understanding Large Temporal Networks and Spatial Networks 1st Edition by Patrick Doreian, Vladimir Batagelj, Anuska Ferligoj, Natasa Kejzar ISBN 9780470714522 0470714522

(Ebook) Understanding Large Temporal Networks and Spatial Networks 1st Edition by Patrick Doreian, Vladimir Batagelj, Anuska Ferligoj, Natasa Kejzar ISBN 9780470714522 0470714522

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Product details:

ISBN 10: 0470714522
ISBN 13: 9780470714522
Author: Patrick Doreian, Vladimir Batagelj, Anuska Ferligoj, Natasa Kejzar

(Ebook) Understanding Large Temporal Networks and Spatial Networks 1st Edition Table of contents:

1. Temporal and Spatial Networks

• Modern Social Network Analysis

• Network Sizes

• Substantive Concerns (e.g., citation networks, other large networks)

• Computational Methods

• Data for Large Temporal Networks

• Induction and Deduction

2. Foundations of Methods for Large Networks

• Definitions and Descriptions of Networks

• Types of Networks: Temporal, Multirelational, Two-mode

• Large Networks: Size and Computational Complexity

• Analytical Strategies

• Statistical Network Measures

• Subnetworks: Clusters, Partitions, Subgraphs, Cuts

• Connectivity & Component Structures

• Cycles, Triangular Connectivity

• Islands, Cores, and Generalized Cores

• Vertex Importance: Centrality Measures, Clustering

• Transition to Network Methods

3. Methods for Large Networks

• Acyclic Network Analysis

• SPC Weights (e.g., citation networks)

• Probabilistic Flow in Acyclic Networks

• Handling Non-Acyclic Citation Networks

• Two-Mode Networks from Tables

• Bibliographic Networks (e.g., co-authorship)

• Network Weighting and Normalization

• Pathfinder Algorithms

• Clustering, Blockmodeling, and Community Detection

• Clustering Symbolic Data

• Approaches to Temporal Networks (journeys, evolution)

• Levels of Analysis

• Preparing for Substantive Applications

4. Scientific Citation & Bibliographic Networks

• Examining Centrality Citation Networks

• Data Preparation and Temporal Analyses

• Acyclic Network Transformation

• SPC Weights & Main Paths

• Line Cuts and Islands

• Collaboration Networks

• Comparison with SNA Literature

5. Citation Patterns in U.S. Patent Data

• Patent and Supreme Court Citation Systems

• Temporal Network Structure

• Technological Development Patterns

• Identifying Important Subnetworks & Patterns

• Comparative Analyses

6. The U.S. Supreme Court Citation Network

• Analyzing Co-Cited Decision Islands

• Case Studies: Native American Rights, Social Order, Dred Scott

• Methodological Reflections

7. Football as the World’s Game

• Historical Overview and Club Analysis

• Soccer Player Migrations

• Network Flows in European Leagues

• Preliminary Findings on Player Movement Patterns

8. Networks of Player Movements to the English Premier League

• Success Metrics, Country Presence

• Flow Dynamics into EPL

• Pathways Inside and Outside EPL

9. Mapping Spatial Diversity in the U.S.

• Spatial Representation of U.S. Counties

• Constrained Spatial Clustering Analysis

• Clustering Methods with Spatial Constraints

10. Reflections on Studying Large Networks

• Integration of Substance, Methods, Data

• Analytical Surprises and Emerging Issues

• Recommendations for Future Research

Appendix: Data Documentation

• Bibliographic, Patent, Supreme Court, Football, U.S. Spatial Data

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Tags: Patrick Doreian, Vladimir Batagelj, Anuska Ferligoj, Natasa Kejzar, Temporal Networks, Spatial Networks