Book description
Mathematical problems such as graph theory problems are of increasing importance for the analysis of modelling data in biomedical research such as in systems biology, neuronal network modelling etc. This book follows a new approach of including graph theory from a mathematical perspective with specific applications of graph theory in biomedical and computational sciences. The book is written by renowned experts in the field and offers valuable background information for a wide audience.
Table of contents
 Cover Page
 Title Page
 Copyright
 Contents
 Preface
 List of Contributors
 1: Entropy, Orbits, and Spectra of Graphs
 2: Statistical Mechanics of Complex Networks
 3: A Simple Integrated Approach to Network Complexity and Node Centrality
 4: Spectral Theory of Networks: From Biomolecular to Ecological Systems
 5: On the Structure of Neutral Networks of RNA Pseudoknot Structures
 6: Graph Edit Distance – Optimal and Suboptimal Algorithms with Applications
 7: Graph Energy
 8: Generalized Shortest Path Trees: A Novel Graph Class by Example of Semiotic Networks

9: Applications of Graph Theory in Chemo and Bioinformatics
 9.1 Introduction
 9.2 Molecular Graphs
 9.3 Common Problems with Molecular Graphs
 9.4 Comparisons and 3D Alignment of Protein Structures
 9.5 Identification of Macromolecular Assemblies in Crystal Packing
 9.6 Chemical Graph Formats
 9.7 Chemical Software Packages
 9.8 Chemical Databases and Resources
 9.9 Subgraph Isomorphism Solution in SQL
 9.10 Cycles in Graphs
 9.11 Aromatic Properties
 9.12 Planar Subgraphs
 9.13 Conclusion
 10: Structural and Functional Dynamics in Cortical and Neuronal Networks
 11: Network Mapping of Metabolic Pathways
 12: Graph Structure Analysis and Computational Tractability of Scheduling Problems
 13: Complexity of Phylogenetic Networks: Counting Cubes in Median Graphs and Related Problems
 14: Elementary Elliptic (R, q)Polycycles
 15: Optimal Dynamic Flows in Networks and Algorithms for Finding Them
 16: Analyzing and Modeling European R&D Collaborations: Challenges and Opportunities from a Large Social Network
 17: Analytic Combinatorics on Random Graphs
 Index
Product information
 Title: Analysis of Complex Networks
 Author(s):
 Release date: August 2009
 Publisher(s): WileyBlackwell
 ISBN: 9783527323456
You might also like
book
Graph Analysis and Visualization: Discovering Business Opportunity in Linked Data
Wring more out of the data with a scientific approach to analysis Graph Analysis and Visualization …
book
Statistical and Machine Learning Approaches for Network Analysis
Explore the multidisciplinary nature of complex networks through machine learning techniques Statistical and Machine Learning Approaches …
book
Machine Learning Algorithms  Second Edition
An easytofollow, stepbystep guide for getting to grips with the realworld application of machine learning algorithms …
book
40 Algorithms Every Programmer Should Know
Learn algorithms for solving classic computer science problems with this concise guide covering everything from fundamental …