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Structural Analysis of Complex Networks

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Table of Contents

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    Book Overview
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    Chapter 1 A Brief Introduction to Complex Networks and Their Analysis
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    Chapter 2 Partitions of Graphs
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    Chapter 3 Distance in Graphs
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    Chapter 4 Domination in Graphs
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    Chapter 5 Spectrum and Entropy for Infinite Directed Graphs
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    Chapter 6 Application of Infinite Labeled Graphs to Symbolic Dynamical Systems
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    Chapter 7 Decompositions and Factorizations of Complete Graphs
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    Chapter 8 Geodetic Sets in Graphs
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    Chapter 9 Graph Polynomials and Their Applications I: The Tutte Polynomial
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    Chapter 10 Graph Polynomials and Their Applications II: Interrelations and Interpretations
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    Chapter 11 Reconstruction Problems for Graphs, Krawtchouk Polynomials, and Diophantine Equations
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    Chapter 12 Subgraphs as a Measure of Similarity
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    Chapter 13 A Chromatic Metric on Graphs
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    Chapter 14 Some Applications of Eigenvalues of Graphs
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    Chapter 15 Minimum Spanning Markovian Trees: Introducing Context-Sensitivity into the Generation of Spanning Trees
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    Chapter 16 Link-Based Network Mining
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    Chapter 17 Graph Representations and Algorithms in Computational Biology of RNA Secondary Structure
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    Chapter 18 Inference of Protein Function from the Structure of Interaction Networks
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    Chapter 19 Applications of Perfect Matchings in Chemistry
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Mentioned by

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3 Wikipedia pages

Citations

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41 Dimensions

Readers on

mendeley
154 Mendeley
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Title
Structural Analysis of Complex Networks
Published by
Birkhäuser Boston, January 2011
DOI 10.1007/978-0-8176-4789-6
ISBNs
978-0-8176-4789-6, 978-0-8176-4788-9
Authors

Dehmer, Matthias

Editors

Dehmer, Matthias

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 154 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 3 2%
Italy 2 1%
Switzerland 1 <1%
Germany 1 <1%
France 1 <1%
South Africa 1 <1%
Finland 1 <1%
India 1 <1%
Taiwan 1 <1%
Other 5 3%
Unknown 137 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 52 34%
Researcher 19 12%
Student > Master 16 10%
Student > Bachelor 10 6%
Professor > Associate Professor 10 6%
Other 27 18%
Unknown 20 13%
Readers by discipline Count As %
Computer Science 32 21%
Mathematics 20 13%
Engineering 19 12%
Physics and Astronomy 14 9%
Social Sciences 11 7%
Other 30 19%
Unknown 28 18%