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Propagation Phenomena in Real World Networks

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Cover of 'Propagation Phenomena in Real World Networks'

Table of Contents

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    Book Overview
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    Chapter 1 Epidemic Models: Their Spread, Analysis and Invasions in Scale-Free Networks
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    Chapter 2 Information Propagation in a Social Network: The Case of a Fish Schooling Algorithm
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    Chapter 3 Models for Trust Inference in Social Networks
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    Chapter 4 Assessing the Role of Network Effects in Propagation Phenomena in Real World Networks
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    Chapter 5 Resource Constrained Randomized Coverage Strategies for Unstructured Networks
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    Chapter 6 Petri Net-Based Modelling and Simulation of Transport Network Segments
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    Chapter 7 Bio-inspired Routing Strategies for Wireless Sensor Networks
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    Chapter 8 Analysis of Peer-to-Peer Botnet Attacks and Defenses
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    Chapter 9 Generating Robust and Efficient Networks Under Targeted Attacks
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    Chapter 10 Cancer—A Story on Fault Propagation in Gene-Cellular Networks
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    Chapter 11 Propagation Models and Analysis for Mobile Phone Data Analytics
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    Chapter 12 Propagation Phenomena in Real World Networks
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    Chapter 13 Simulations of Financial Contagion in Interbank Networks: Some Methodological Issues
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    Chapter 14 Maximizing Social Influence in Real-World Networks—The State of the Art and Current Challenges
Attention for Chapter 6: Petri Net-Based Modelling and Simulation of Transport Network Segments
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Citations

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Chapter title
Petri Net-Based Modelling and Simulation of Transport Network Segments
Chapter number 6
Book title
Propagation Phenomena in Real World Networks
Published by
Springer International Publishing, March 2015
DOI 10.1007/978-3-319-15916-4_6
Book ISBNs
978-3-31-915915-7, 978-3-31-915916-4
Authors

František Čapkovič

Editors

Dariusz Król, Damien Fay, Bogdan Gabryś

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 50%
Student > Master 1 50%
Readers by discipline Count As %
Engineering 2 100%

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