Computational network theory : theoretical foundations and applications /: theoretical foundations and applications. ([2015])
- Record Type:
- Book
- Title:
- Computational network theory : theoretical foundations and applications /: theoretical foundations and applications. ([2015])
- Main Title:
- Computational network theory : theoretical foundations and applications
- Further Information:
- Note: Edited by Matthias Dehmer, Frank Emmert-Streib and Stefan Pickl.
- Editors:
- Dehmer, Matthias, 1968-
Emmert-Streib, Frank
Pickl, Stefan, 1967- - Contents:
- 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;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. … (more)
- Publisher Details:
- Weinheim : Wiley-VCH Verlang GmbH & Co. KGaA
- Publication Date:
- 2015
- Extent:
- 1 online resource, illustrations (some color)
- Subjects:
- 006.3
Computational intelligence
COMPUTERS -- Intelligence & Semantics
Computational intelligence
Electronic books - Languages:
- English
- ISBNs:
- 9783527691531
3527691537
9783527691548
3527691545
9783527691524
3527691529
9783527691517
3527691510 - Related ISBNs:
- 9783527337248
3527337245 - Notes:
- Note: Includes bibliographical references and index.
Note: Online resource; title from PDF title page (Ebsco, viewed May 11, 2015). - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.377156
- Ingest File:
- 02_357.xml