A user's guide to network analysis in R:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Cham ; Heidelberg ; New York ; Dordrecht ; London
Springer
[2015]
|
| Schriftenreihe: | Use R!
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | xii, 238 Seiten Illustrationen, Diagramme |
| ISBN: | 9783319238821 |
Internformat
MARC
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| 245 | 1 | 0 | |a A user's guide to network analysis in R |c Douglas A. Luke |
| 264 | 1 | |a Cham ; Heidelberg ; New York ; Dordrecht ; London |b Springer |c [2015] | |
| 264 | 4 | |c © 2015 | |
| 300 | |a xii, 238 Seiten |b Illustrationen, Diagramme | ||
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Datensatz im Suchindex
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|---|---|
| adam_text | Douglas A Luke
A User s Guide to Network
Analysis in R
P
/
^ Springer
Contents
1 Introducing Network Analysis in R 1
1 1 What Are Networks? 1
1 2 What Is Network Analysis? v 3
1 3 Five Good Reasons to Do Network Analysis in R 4
131 Scope of R 4
132 Free and Open Nature of R 5
133 Data and Project Management Capabilities of R 5
134 Breadth of Network Packages in R 6
135 Strength of Network Modeling in R 6
1 4 Scope of Book and Resources 6
141 Scope 6
142 Book Roadmap 7
143 Resources 8
Part I Network Analysis Fundamentals
2 The Network Analysis Five-Number Summary 11
2 1 Network Analysis in R: Where to Start 11
2 2 Preparation 11
2 3 Simple Visualization 12
2 4 Basic Description 12
241 Size 12
242 Density 14
243 Components 15
• 244 Diameter 15
2 5 Clustering Coefficient 16
3 Network Data Management in R 17
• 3 1 Network Data Concepts 17
311 Network Data Structures 17
312 Information Stored in Network Objects 20
x Contents
3 2 Creating and Managing Network Objects in R 21
321 Creating a Network Object in statnet 21
322 Managing Node and Tie Attributes 24
323 Creating a Network Object in igraph 28
324 Going Back and Forth Between statnet and igraph 30
3 3 Importing Network Data 30
3 4 Common Network Data Tasks 32
341 Filtering Networks Based on Vertex or Edge Attribute
Values 32
342 Transforming a Directed Network to a Non-directed
Netjj/ork 39
Part II Visualization
4 Basic Network Plotting and Layout 45
4 1 The Challenge of Network Visualization 45
4 2 The Aesthetics of Network Layouts 47
4 3 Basic Plotting Algorithms and Methods 49
431 Finer Control Over Network Layout 50
432 Network Graph Layouts Using igraph 52
5 Effective Network Graphic Design 55
5 1 Basic Principles 55
5 2 Design Elements 55
521 Node Color 56
522 Node Shape 60
523 Node Size 62
524 Node Label 66
525 Edge Width 68
526 Edge Color 69
527 Edge Type 70
528 Legends 71
6 Advanced Network Graphics 73
6 1 Interactive Network Graphics 73
611 Simple Interactive Networks in igraph 74
612 Publishing Web-Based Interactive Network Diagrams 74
613 Statnet Web: Interactive statnet with shiny 77
ff 6 2 Specialized Network Diagrams 77
621 Arc Diagrams 78
622 Chord Diagrams 79
623 Heatmaps for Network Data 82
6 3 Creating Network Diagrams with Other R Packages 84
631 Network Diagrams with ggplot2 84
/
Contents xi
Part III Description and Analysis
7 Actor Prominence 91
7 1 Introduction 91
7 2 Centrality: Prominence for Undirected Networks 92
721 Three Common Measures of Centrality 93
722 Centrality Measures in R 95
723 Centralization: Network Level Indices of Centrality 96
724 Reporting Centrality 97
7 3 Cutpoints and Bridges 101
8 Subgroups ^ 105
8 1 Introduction 105
8 2 Social Cohesion 106
821 Cliques 107
822 k-Cores 110
8 3 Community Detection 115
831 Modularity • 115
832 Community Detection Algorithms 118
9 Affiliation Networks 125
9 1 Defining Affiliation Networks 125
911 Affiliations as 2-Mode Networks 126
912 Bipartite Graphs 126
9 2 Affiliation Network Basics 127
921 Creating Affiliation Networks from Incidence Matrices 127
922 Creating Affiliation Networks from Edge Lists 129
923 Plotting Affiliation Networks 130
924 Projections 131
9 3 Example: Hollywood Actors as an Affiliation Network 133
931 Analysis of Entire Holly wood Affiliation Network 134
932 Analysis of the Actor and Movie Projections 139
Part IV Modeling
10 Random Network Models 147
10 1 The Role of Network Models 147
10 2 Models of Network Structure and Formation 148
! 10 2 1 Erdos-Renyi Random Graph Model 148
10 2 2 Small-World Model 151
10 2 3 Scale-Free Models 154
10 3 Comparing Random Models to Empirical Networks 160
xii Contents t
• i
11 Statistical Network Models 163 j
11 1 Introduction 163
11 2 Building Exponential Random Graph Models 165 j
11 2 1 Building a Null Model 167 j|
11 2 2 Including Node Attributes 169 |
11 2 3 Including Dyadic Predictors 171 |
11 2 4 Including Relational Terms (Network Predictors) 175 (
11 2 5 Including Local Structural Predictors (Dyad Dependency) 177 f,
11 3 Examining Exponential Random Graph Models 179 j_
11 3 1 Model Interpretation 179 |
11 3 2 Mocjpl Fit 180 5
11 3 3 Model Diagnostics 183 j!
11 3 4 Simulating Networks Based on Fit Model 183 [•
i;
i
12 Dynamic Network Models 189
12 1 Introduction 189 !•
12 1 1 Dynamic Networks 189 j
12 1 2 RSiena 191
12 2 Data Preparation 192
12 3 Model Specification and Estimation 198 j ,
12 3 1 Specification of Model Effects 198 1
12 3 2 Model Estimation 203
12 4 Model Exploration 203
12 4 1 Model Interpretation 203
12 4 2 Goodness-of-Fit 209
12 4 3 Model Simulations 212
13 Simulations 217
13 1 Simulations of Network Dynamics 217
13 1 1 Simulating Social Selection 218
13 1 2 Simulating Social Influence 228
References 235
$
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| isbn | 9783319238821 |
| language | English |
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| spelling | Luke, Douglas A. (DE-588)130032344 aut A user's guide to network analysis in R Douglas A. Luke Cham ; Heidelberg ; New York ; Dordrecht ; London Springer [2015] © 2015 xii, 238 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Use R! R Programm (DE-588)4705956-4 gnd rswk-swf R Programm (DE-588)4705956-4 s DE-604 Erscheint auch als Online-Ausgabe 978-3-319-23883-8 HEBIS Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028728475&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
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| title | A user's guide to network analysis in R |
| title_auth | A user's guide to network analysis in R |
| title_exact_search | A user's guide to network analysis in R |
| title_full | A user's guide to network analysis in R Douglas A. Luke |
| title_fullStr | A user's guide to network analysis in R Douglas A. Luke |
| title_full_unstemmed | A user's guide to network analysis in R Douglas A. Luke |
| title_short | A user's guide to network analysis in R |
| title_sort | a user s guide to network analysis in r |
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