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Computational network theory : theoretical foundations and applications / [edited by] Matthias Dehmer, Frank Emmert-Streib and Stefan Pickl.

Contributor(s): Series: Quantitative and network biology ; v 5.Publication details: Weinheim : Wiley-VCH, 2015.Description: xxxiv, 242 p. : illustrations (some color) ; 25 cmISBN:
  • 9783527337248
Subject(s): DDC classification:
  • 006.3 23 D322
Contents:
1. Model Selection for Neural Network Models: A Statistical Perspective / Michele La Rocca and Cira Perna 2. Measuring Structural Correlations in Graphs / Ziyu Guan and Xifeng Yan -- 3. Spectral Graph Theory and Structural Analysis of Complex Networks: An Introduction / Salissou Moutari and Ashraf Ahmed -- 4. Contagion in Interbank Networks / Grzegorz Hałaj and Christoffer Kok -- 5. Detection, Localization, and Tracking of a Single and Multiple Targets with Wireless Sensor Networks / Natallia Katenka -- 6. Computing in Dynamic Networks / Othon Michail, Ioannis Chatzigiannakis, and Paul G. Spirakis -- 7. Visualization and Interactive Analysis for Complex Networks by means of Lossless Network Compression / Matthias Reimann, Loic Royer, Simone Daminelli, and Michael Schroeder.
Summary: 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.
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Includes bibliographical references and index.

1. Model Selection for Neural Network Models: A Statistical Perspective / Michele La Rocca and Cira Perna
2. Measuring Structural Correlations in Graphs / Ziyu Guan and Xifeng Yan --
3. Spectral Graph Theory and Structural Analysis of Complex Networks: An Introduction / Salissou Moutari and Ashraf Ahmed --
4. Contagion in Interbank Networks / Grzegorz Hałaj and Christoffer Kok --
5. Detection, Localization, and Tracking of a Single and Multiple Targets with Wireless Sensor Networks / Natallia Katenka --
6. Computing in Dynamic Networks / Othon Michail, Ioannis Chatzigiannakis, and Paul G. Spirakis --
7. Visualization and Interactive Analysis for Complex Networks by means of Lossless Network Compression / Matthias Reimann, Loic Royer, Simone Daminelli, and Michael Schroeder.

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.

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