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Statistical Analysis of Network Data with R / / by Eric D. Kolaczyk, Gábor Csárdi
| Statistical Analysis of Network Data with R / / by Eric D. Kolaczyk, Gábor Csárdi |
| Autore | Kolaczyk Eric D |
| Edizione | [2nd ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (235 pages) |
| Disciplina | 003 |
| Collana | Use R! |
| Soggetto topico |
Statistics
Computer communication systems Electrical engineering R (Computer program language) Statistics and Computing/Statistics Programs Computer Communication Networks Communications Engineering, Networks |
| ISBN | 3-030-44129-6 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1 Introduction -- 2 Manipulating Network Data -- 3 Visualizing Network Data -- 4 Descriptive Analysis of Network Graph Characteristics -- 5 Mathematical Models for Network Graphs -- 6 Statistical Models for Network Graphs -- 7 Network Topology Inference -- 8 Modeling and Prediction for Processes on Network Graphs -- 9 Analysis of Network Flow Data -- 10 Networked Experiments -- 11 Dynamic Networks -- Index. |
| Record Nr. | UNISA-996418184603316 |
Kolaczyk Eric D
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Statistical Analysis of Network Data with R / / by Eric D. Kolaczyk, Gábor Csárdi
| Statistical Analysis of Network Data with R / / by Eric D. Kolaczyk, Gábor Csárdi |
| Autore | Kolaczyk Eric D |
| Edizione | [2nd ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (235 pages) |
| Disciplina | 003 |
| Collana | Use R! |
| Soggetto topico |
Statistics
Computer communication systems Electrical engineering R (Computer program language) Statistics and Computing/Statistics Programs Computer Communication Networks Communications Engineering, Networks |
| ISBN | 3-030-44129-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1 Introduction -- 2 Manipulating Network Data -- 3 Visualizing Network Data -- 4 Descriptive Analysis of Network Graph Characteristics -- 5 Mathematical Models for Network Graphs -- 6 Statistical Models for Network Graphs -- 7 Network Topology Inference -- 8 Modeling and Prediction for Processes on Network Graphs -- 9 Analysis of Network Flow Data -- 10 Networked Experiments -- 11 Dynamic Networks -- Index. |
| Record Nr. | UNINA-9910482994603321 |
|
Kolaczyk Eric D
|
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Statistical analysis of network data with R / / by Eric D. Kolaczyk, Gábor Csárdi
| Statistical analysis of network data with R / / by Eric D. Kolaczyk, Gábor Csárdi |
| Autore | Kolaczyk Eric D |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | New York, NY : , : Springer New York : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (214 p.) |
| Disciplina | 658.4032 |
| Collana | Use R! |
| Soggetto topico |
Statistics
System theory Signal processing Image processing Speech processing systems Statistical physics Dynamical systems Bioinformatics R (Computer program language) Statistics and Computing/Statistics Programs Statistical Theory and Methods Complex Systems Signal, Image and Speech Processing Computational Biology/Bioinformatics |
| ISBN | 1-4939-0983-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
""Preface""; ""Contents""; ""Biographies""; ""Chapter 1 Introduction ""; ""1.1 Why Networks?""; ""1.2 Types of Network Analysis""; ""1.2.1 Visualizing and Characterizing Networks""; ""1.2.2 Network Modeling and Inference""; ""1.2.3 Network Processes""; ""1.3 Why Use R for Network Analysis?""; ""1.4 About This Book""; ""1.5 About the R code""; ""Chapter 2 Manipulating Network Data ""; ""2.1 Introduction""; ""2.2 Creating Network Graphs""; ""2.2.1 Undirected and Directed Graphs""; ""2.2.2 Representations for Graphs""; ""2.2.3 Operations on Graphs""; ""2.3 Decorating Network Graphs""
""2.3.1 Vertex, Edge, and Graph Attributes""""2.3.2 Using Data Frames""; ""2.4 Talking About Graphs""; ""2.4.1 Basic Graph Concepts""; ""2.4.2 Special Types of Graphs""; ""2.5 Additional Reading""; ""Chapter 3 Visualizing Network Data ""; ""3.1 Introduction""; ""3.2 Elements of Graph Visualization""; ""3.3 Graph Layouts""; ""3.4 Decorating Graph Layouts""; ""3.5 Visualizing Large Networks""; ""3.6 Using Visualization Tools Outside of R""; ""3.7 Additional Reading""; ""Chapter 4 Descriptive Analysis of Network Graph Characteristics ""; ""4.1 Introduction"" ""4.2 Vertex and Edge Characteristics""""4.2.1 Vertex Degree""; ""4.2.2 Vertex Centrality""; ""4.2.3 Characterizing Edges""; ""4.3 Characterizing Network Cohesion""; ""4.3.1 Subgraphs and Censuses""; ""4.3.2 Density and Related Notions of Relative Frequency""; ""4.3.3 Connectivity, Cuts, and Flows""; ""4.4 Graph Partitioning""; ""4.4.1 Hierarchical Clustering""; ""4.4.2 Spectral Partitioning""; ""4.4.3 Validation of Graph Partitioning""; ""4.5 Assortativity and Mixing""; ""4.6 Additional Reading""; ""Chapter 5 Mathematical Models for Network Graphs ""; ""5.1 Introduction"" ""5.2 Classical Random Graph Models""""5.3 Generalized Random Graph Models""; ""5.4 Network Graph Models Based on Mechanisms""; ""5.4.1 Small-World Models""; ""5.4.2 Preferential Attachment Models""; ""5.5 Assessing Significance of Network Graph Characteristics""; ""5.5.1 Assessing the Number of Communities in a Network""; ""5.5.2 Assessing Small World Properties""; ""5.6 Additional Reading""; ""Chapter 6 Statistical Models for Network Graphs ""; ""6.1 Introduction""; ""6.2 Exponential Random Graph Models""; ""6.2.1 General Formulation""; ""6.2.2 Specifying a Model""; ""6.2.3 Model Fitting"" ""6.2.4 Goodness-of-Fit""""6.3 Network Block Models""; ""6.3.1 Model Specification""; ""6.3.2 Model Fitting""; ""6.3.3 Goodness-of-Fit""; ""6.4 Latent Network Models""; ""6.4.1 General Formulation""; ""6.4.2 Specifying the Latent Effects""; ""6.4.3 Model Fitting""; ""6.4.4 Goodness-of-Fit""; ""6.5 Additional Reading""; ""Chapter 7 Network Topology Inference ""; ""7.1 Introduction""; ""7.2 Link Prediction""; ""7.3 Association Network Inference""; ""7.3.1 Correlation Networks""; ""7.3.2 Partial Correlation Networks""; ""7.3.3 Gaussian Graphical Model Networks"" ""7.4 Tomographic Network Topology Inference"" |
| Record Nr. | UNINA-9910300142203321 |
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Kolaczyk Eric D
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| New York, NY : , : Springer New York : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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