Structural Analysis of Complex Networks

Edited by Matthias Dehmer ()

in Springer Books from Springer

Date: 2011
ISBN: 978-0-8176-4789-6
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Chapters in this book:

Ch Chapter 1 A Brief Introduction to Complex Networks and Their Analysis

Frank Emmert-Streib

Ch Chapter 10 Graph Polynomials and Their Applications II: Interrelations and Interpretations

Joanna A. Ellis-Monaghan and Criel Merino

Ch Chapter 11 Reconstruction Problems for Graphs, Krawtchouk Polynomials, and Diophantine Equations

Thomas Stoll

Ch Chapter 12 Subgraphs as a Measure of Similarity

Josef Lauri

Ch Chapter 13 A Chromatic Metric on Graphs

Gerhard Benadé

Ch Chapter 14 Some Applications of Eigenvalues of Graphs

Sebastian M. Cioabă

Ch Chapter 15 Minimum Spanning Markovian Trees: Introducing Context-Sensitivity into the Generation of Spanning Trees

Alexander Mehler

Ch Chapter 16 Link-Based Network Mining

Jerry Scripps, Ronald Nussbaum, Pang-Ning Tan and Abdol-Hossein Esfahanian

Ch Chapter 17 Graph Representations and Algorithms in Computational Biology of RNA Secondary Structure

Stefan Washietl and Tanja GesellGesell

Ch Chapter 18 Inference of Protein Function from the Structure of Interaction Networks

Oliver Mason, Mark Verwoerd and Peter Clifford

Ch Chapter 19 Applications of Perfect Matchings in Chemistry

Damir Vukičević

Ch Chapter 2 Partitions of Graphs

Mieczysław Borowiecki

Ch Chapter 3 Distance in Graphs

Wayne Goddard and Ortrud R. Oellermann

Ch Chapter 4 Domination in Graphs

Nawarat Ananchuen, Watcharaphong Ananchuen and Michael D. Plummer

Ch Chapter 5 Spectrum and Entropy for Infinite Directed Graphs

Jun Ichi Fujii

Ch Chapter 6 Application of Infinite Labeled Graphs to Symbolic Dynamical Systems

Kengo Matsumoto

Ch Chapter 7 Decompositions and Factorizations of Complete Graphs

Petr Kovář

Ch Chapter 8 Geodetic Sets in Graphs

Boštjan Brešar, Matjaž Kovše and Aleksandra Tepeh

Ch Chapter 9 Graph Polynomials and Their Applications I: The Tutte Polynomial

Joanna A. Ellis-Monaghan and Criel Merino

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DOI: 10.1007/978-0-8176-4789-6

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