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Complex Networks

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Cover of 'Complex Networks'

Table of Contents

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    Book Overview
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    Chapter 1 Dynamics and Evolution of the International Trade Network
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    Chapter 2 Small World Behavior of the Planetary Active Volcanoes Network: Preliminary Results
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    Chapter 3 Correlation Patterns in Gene Expressions along the Cell Cycle of Yeast
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    Chapter 4 Detecting and Characterizing the Modular Structure of the Yeast Transcription Network
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    Chapter 5 Finding Overlapping Communities Using Disjoint Community Detection Algorithms
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    Chapter 6 Discovering Community Structure on Large Networks Using a Grid Computing Environment
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    Chapter 7 Finding Community Structure Based on Subgraph Similarity
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    Chapter 8 Structural Trends in Network Ensembles
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    Chapter 9 Generalized Attachment Models for the Genesis of Graphs with High Clustering Coefficient
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    Chapter 10 Modeling Highway Networks with Path-Geographical Transformations
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    Chapter 11 Simplicial Complex of Opinions on Scale-Free Networks
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    Chapter 12 An Axiomatic Foundation for Epidemics on Complex Networks
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    Chapter 13 Complex Networks
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    Chapter 14 Order-Wise Correlation Dynamics in Text Data
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    Chapter 15 Using Time Dependent Link Reduction to Improve the Efficiency of Topic Prediction in Co-Authorship Graphs
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    Chapter 16 Fast Similarity Search in Small-World Networks
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    Chapter 17 Detection of Packet Traffic Anomalous Behaviour via Information Entropy
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    Chapter 18 Identification of Social Tension in Organizational Networks
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Title
Complex Networks
Published by
Springer Berlin Heidelberg, April 2009
DOI 10.1007/978-3-642-01206-8
ISBNs
978-3-64-201205-1, 978-3-64-201206-8
Editors

Fortunato, Santo, Mangioni, Giuseppe, Menezes, Ronaldo, Nicosia, Vincenzo

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 1 100%
Readers by discipline Count As %
Chemical Engineering 1 100%