
- English
- ePUB (mobile friendly)
- Available on iOS & Android
About this book
A large number of biological, physical, and social systems contain complex networks. Knowledge about how these networks operate is critical for advancing a more general understanding of network behavior. To this end, each of these disciplines has created different kinds of statistical theory for inference on network data. To help stimulate further progress in the field of statistical inference on network data, the NRC sponsored a workshop that brought together researchers who are dealing with network data in different contexts. This book - which is available on CD only - contains the text of the 18 workshop presentations. The presentations focused on five major areas of research: network models, dynamic networks, data and measurement on networks, robustness and fragility of networks, and visualization and scalability of networks.
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Information
Table of contents
- COVER PAGE
- THE NATIONAL ACADEMIES
- COMMITTTEE ON APPLIED AND THEORETICAL STATISTICS
- PROGRAM COMMITTEE
- BOARD ON MATHEMATICAL SCIENCES AND THEIR APPLICATIONS
- Preface and Workshop Rationale
- Contents
- Keynote Address, Day 1
- Network Models
- Dynamic Networks
- Data and Measurement
- The State of the Art in Social Network Analysis
- Keynote Address, Day 2
- Robustness and Fragility
- Visualization and Scalability
- Appendixes
- Appendix A Workshop Agenda and List of Attendees
- Appendix B Biographical Sketches of Workshop Speakers