Understanding Large Temporal Networks and Spatial Networks: Exploration, Pattern Searching, Visualization and Network Evolution 1st Edition by Vladimir Batagelj, Patrick Doreian, Anuska Ferligoj, Natasa Kejzar – Ebook PDF Instant Download/Delivery: 1118915364, 9781118915363
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Product details:
ISBN 10: 1118915364
ISBN 13: 9781118915363
Author: Vladimir Batagelj, Patrick Doreian, Anuska Ferligoj, Natasa Kejzar
Understanding Large Temporal Networks and Spatial Networks: Exploration, Pattern Searching, Visualization and Network Evolution 1st Edition: 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. Reviews: “this book is easy to read and entertaining, and much can be learned from it. Even if you know just about everything about large-scale and temporal networks, the book is a worthwhile read; you will learn a lot about SNA literature, patents, the US Supreme Court, and European soccer.” (Social Networks) “a clear and accessible textbook, balancing symbolic maths, code, and visual explanations. The authors’ enthusiasm for the subject matter makes it enjoyable to read” (JASSS)
Understanding Large Temporal Networks and Spatial Networks: Exploration, Pattern Searching, Visualization and Network Evolution 1st Edition Table of contents:
- Chapter 1: Temporal and Spatial Networks
- Chapter 2: Foundations of Methods for Large Networks
- Chapter 3: Methods for Large Networks
- Chapter 4: Scientific Citation and Other Bibliographic Networks
- Chapter 5: Citation Patterns in Temporal United States Patent Data
- Chapter 6: The US Supreme Court Citation Network
- Chapter 7: Football as the World’s Game
- Chapter 8: Networks of Player Movements to the EPL
- Chapter 9: Mapping Spatial Diversity in the United States of America
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Vladimir Batagelj,Patrick Doreian,Anuska Ferligoj,Natasa Kejzar,Understanding,Large,Temporal Networks,Spatial,Networks,Exploration,Pattern Searching,Visualization,Network Evolution