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Computational network theory : theoretical foundations and applications /
This comprehensive introduction to computational network theory as a branch of network theory builds on the understanding that such networks are a tool to derive or verify hypotheses by applying computational techniques to large scale network data. The highly experienced team of editors and high-pro...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Weinheim :
Wiley-VCH Verlang GmbH & Co. KGaA,
[2015]
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| Colección: | Quantitative and network biology ;
v. 5. |
| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Titles of the Series "Quantitative and Network Biology"; Related Titles; Title Page; Copyright; Table of Contents; Dedication; Preface; List of Contributors; Chapter 1: Model Selection for Neural Network Models: A Statistical Perspective; 1.1 Introduction; 1.2 Feedforward Neural Network Models; 1.3 Model Selection; 1.4 The Selection of the Hidden Layer Size; 1.5 Concluding Remarks; References; Chapter 2: Measuring Structural Correlations in Graphs; 2.1 Introduction; 2.2 Related Work; 2.3 Self Structural Correlation; 2.4 Two-Event Structural Correlation; 2.5 Conclusions; References.
- Chapter 3: Spectral Graph Theory and Structural Analysis of Complex Networks: An Introduction3.1 Introduction; 3.2 Graph Theory: Some Basic Concepts; 3.3 Matrix Theory: Some Basic Concepts; 3.4 Graph Matrices; 3.5 Spectral Graph Theory: Some Basic Results; 3.6 Computational Challenges for Spectral Graph Analysis; 3.7 Conclusion; References; Chapter 4: Contagion in Interbank Networks; 4.1 Introduction; 4.2 Research Context; 4.3 Models; 4.4 Results; 4.5 Stress Testing Applications; 4.6 Conclusions; References.
- Chapter 5: Detection, Localization, and Tracking of a Single and Multiple Targets with Wireless Sensor Networks5.1 Introduction and Overview; 5.2 Data Collection and Fusion by WSN; 5.3 Target Detection; 5.4 Single Target Localization and Diagnostic; 5.5 Multiple Target Localization and Diagnostic; 5.6 Multiple Target Tracking; 5.7 Applications and Case Studies; 5.8 Final Remarks; References; Chapter 6: Computing in Dynamic Networks; 6.1 Introduction; 6.2 Preliminaries; 6.3 Spread of Influence in Dynamic Graphs (Causal Influence); 6.4 Naming and Counting in Anonymous Unknown Dynamic Networks.
- 6.5 Causality, Influence, and Computation in Possibly Disconnected Synchronous Dynamic Networks6.6 Local Communication Windows; 6.7 Conclusions; References; Chapter 7: Visualization and Interactive Analysis for Complex Networks by means of Lossless Network Compression; 7.1 Introduction; 7.2 Power Graph Algorithm; 7.3 Validation-Edge Reduction Differs from Random; 7.4 Graph Comparison with Power Graphs; 7.5 Excursus: Layout of Power Graphs; 7.6 Interactive Visual Analytics; 7.7 Conclusion; References; Index; End User License Agreement.