Custom cover image
Statistical and machine learning approaches for network analysis / edited by Matthias Dehmer, Subhash C. Basak
Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Wiley series in computational statistics ; 707Publisher: Hoboken, N.J : Wiley, 2012Edition: Online-AusgDescription: Online-Ressource (1 online resource (xii, 331 p.)) : illISBN:- 9781280872716
- 1280872713
- 9781118347010
- 511/.5 23
- 511.5
- MAT029000
- Q180.55.S7
Contents:
Summary: "This book explores novel graph classes and presents novel methods to classify networks. It particularly addresses the following problems: exploration of novel graph classes and their relationships among each other; existing and classical methods to analyze networks; novel graph similarity and graph classification techniques based on machine learning methods; and applications of graph classification and graph mining. Key topics are addressed in depth including the mathematical definition of novel graph classes, i.e. generalized trees and directed universal hierarchical graphs, and the application areas in which to apply graph classes to practical problems in computational biology, computer science, mathematics, mathematical psychology, etc"--PPN: PPN: 809726963Package identifier: Produktsigel: ZDB-26-MYL | ZDB-30-PAD | ZDB-30-PQE
""Title Page""; ""Copyright""; ""Dedication""; ""Preface""; ""Contributors""; ""Chapter 1: A Survey of Computational Approaches to Reconstruct and Partition Biological Networks""; ""1.1 Introduction""; ""1.2 Biological Networks""; ""1.3 Genome-wide Measurements""; ""1.4 Reconstruction of Biological Networks""; ""1.5 Partitioning Biological Networks""; ""1.6 Discussion""; ""References""; ""Chapter 2: Introduction to Complex Networks: Measures, Statistical Properties, and Models""; ""2.1 Introduction""; ""2.2 Representation of Networks""; ""2.3 Classical Network""; ""2.4 Scale-Free Network""
""2.5 Small-World Network""""2.6 Clustered Network""; ""2.7 Hierarchical Modularity""; ""2.8 Network Motif""; ""2.9 Assortativity""; ""2.10 Reciprocity""; ""2.11 Weighted Networks""; ""2.12 Network Complexity""; ""2.13 Centrality""; ""2.14 Conclusion""; ""References""; ""Chapter 3: Modeling for Evolving Biological Networks""; ""3.1 Introduction""; ""3.2 Unified Evolving Network Model: Reproduction of Heterogeneous Connectivity, Hierarchical Modularity, and Disassortativity""; ""3.3 Modeling Without Parameter Tuning: A Case Study of Metabolic Networks""
""3.4 Bipartite Relationship: A Case Study of Metabolite Distribution""""3.5 Conclusion""; ""References""; ""Chapter 4: Modularity Configurations in Biological Networks with Embedded Dynamics""; ""4.1 Introduction""; ""4.2 Methods""; ""4.3 Results""; ""4.4 Discussion and Concluding Remarks""; ""Acknowledgment""; ""Supporting Information""; ""References""; ""Chapter 5: Influence of Statistical Estimators on the Large-Scale Causal Inference of Regulatory Networks""; ""5.1 Introduction""; ""5.2 Methods""; ""5.3 Results""; ""5.4 Conclusion and Summary""; ""Acknowledgment""; ""References""
""Chapter 6: Weighted Spectral Distribution: A Metric for Structural Analysis of Networks""""6.1 Introduction""; ""6.2 Weighted Spectral Distribution""; ""6.3 A Simple Worked Example""; ""6.4 The Internet Autonomous System Topology""; ""6.5 Comparing Topology Generators""; ""6.6 Tuning Topology Generator Parameters""; ""6.7 Generating Topologies with Optimum Parameters""; ""6.8 Internet Topology Evolution""; ""6.9 Conclusions""; ""References""; ""Chapter 7: The Structure of an Evolving Random Bipartite Graph""; ""7.1 Introduction""; ""7.2 The Structure of a Sparse Bipartite Graph""
""7.3 Enumerating Bipartite Graphs""""7.4 Asymptotic Expansion via the Saddle Point Method""; ""7.5 Proofs of the Main Theorems""; ""7.6 Empirical Data""; ""7.7 Conclusion and Summary""; ""References""; ""Chapter 8: Graph Kernels""; ""8.1 Introduction""; ""8.2 Convolution Kernels""; ""8.3 Random Walk Graph Kernels""; ""8.4 Path-Based Graph Kernels""; ""8.5 Tree-Pattern Graph Kernels""; ""8.6 Cyclic Pattern Kernels""; ""8.7 Graphlet Kernels""; ""8.8 Optimal Assignment Kernels""; ""8.9 Other Graph Kernels""; ""8.10 Applications in Bio-and Cheminformatics""; ""8.11 Summary and Conclusions""
""Acknowledgments""
No physical items for this record