Understanding large temporal networks and spatial networks

Understanding large temporal networks and spatial networks: exploration, pattern searching, visualization and network evolution

by Batagelj, Vladimir

Type Book
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"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"-- "This book explores social mechanisms that drive network change and link them to computationally sound models of changing structure to detect patterns"--

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Title Statements

  • Full title :Understanding large temporal networks and spatial networks : exploration, pattern searching, visualization and network evolution / Vladimir Batagelj [and three others].

Summary

"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"--

"This book explores social mechanisms that drive network change and link them to computationally sound models of changing structure to detect patterns"--

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Edition Statements

  • Publication Date:©2014

Publication Statements

  • Publisher(s):Wiley
  • Place of Publication:Chichester [England]
  • Language:eng
  • Publication Date:©2014

The Physical Object

  • Description:1 online resource (467 pages) : : illustrations

Edition Identifiers

  • ISBN:9781118915363, 1118915364, 9781118915356, 1118915356, 0470714522, 9780470714522
  • oclc:ocn891381870
  • LC Classification:HM741
  • Dewey Decimal:302.3

Table of Contents

Understanding Large Temporal Networks and Spatial Networks: Exploration, Pattern Searching, Visualization and Network Evolution; Contents; Preface; 1 Temporal and Spatial Networks; 1.1 Modern Social Network Analysis; 1.2 Network Sizes; 1.3 Substantive Concerns; 1.3.1 Citation Networks; 1.3.2 Other Types of Large Networks; 1.4 Computational Methods; 1.5 Data for Large Temporal Networks; 1.5.1 The Main Datasets; 1.5.2 Secondary Datasets; 1.6 Induction and Deduction; 2 Foundations of Methods for Large Networks; 2.1 Networks; 2.1.1 Descriptions of Networks; 2.1.2 Degrees

2.1.3 Descriptions of Properties2.1.4 Visualizations of Properties; 2.2 Types of Networks; 2.2.1 Temporal Networks; 2.2.2 Multirelational Networks; 2.2.3 Two-mode Networks; 2.3 Large Networks; 2.3.1 Small and Middle Sized Networks; 2.3.2 Large Networks; 2.3.3 Complexity of Algorithms; 2.4 Strategies for Analyzing Large Networks; 2.5 Statistical Network Measures; 2.5.1 Using Pajek and R Together; 2.5.2 Fitting Distributions; 2.6 Subnetworks; 2.6.1 Clusters, Clusterings, Partitions, Hierarchies; 2.6.2 Contractions of Clusters; 2.6.3 Subgraphs; 2.6.4 Cuts; 2.7 Connectivity Properties of Networks

2.12 Transition to Meth…

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