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Self-Organizing Systems

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Cover of 'Self-Organizing Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Automated Trading for Smart Grids: Can It Work?
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    Chapter 2 A Semantic-Based Algorithm for Data Dissemination in Opportunistic Networks
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    Chapter 3 Characteristic Analysis of Response Threshold Model and Its Application for Self-organizing Network Control
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    Chapter 4 Emergence of Global Speed Patterns in a Traffic Scenario
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    Chapter 5 On the Efficiency of Information-Assisted Search for Parking Space: A Game-Theoretic Approach
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    Chapter 6 The Relative Disagreement Model of Opinion Dynamics: Where Do Extremists Come From?
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    Chapter 7 Modeling the Emergence of a New Language: Naming Game with Hybridization
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    Chapter 8 Trust-Based Scenarios – Predicting Future Agent Behavior in Open Self-organizing Systems
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    Chapter 9 Addressing Phase Transitions in Wireless Networking Optimization
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    Chapter 10 On the Local Approximations of Node Centrality in Internet Router-Level Topologies
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    Chapter 11 Modelling Critical Node Attacks in MANETs
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    Chapter 12 Evolution as a Tool to Design Self-organizing Systems
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    Chapter 13 Self-organization Promotes the Evolution of Cooperation with Cultural Propagation
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    Chapter 14 Not All Paths Lead to Rome: Analysing the Network of Sister Cities
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    Chapter 15 A Hybrid Threat Detection and Security Adaptation System for Industrial Wireless Sensor Networks
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    Chapter 16 Mapping of Self-organization Properties and Non-functional Requirements in Smart Grids
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    Chapter 17 A Self-organising Approach for Smart Meter Communication Systems
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    Chapter 18 Unifying Sensor Fault Detection with Energy Conservation
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    Chapter 19 Towards a Distributed, Self-organising Approach to Malware Detection in Cloud Computing
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    Chapter 20 Demand Response by Decentralized Device Control Based on Voltage Level
Attention for Chapter 6: The Relative Disagreement Model of Opinion Dynamics: Where Do Extremists Come From?
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Chapter title
The Relative Disagreement Model of Opinion Dynamics: Where Do Extremists Come From?
Chapter number 6
Book title
Self-Organizing Systems
Published by
Springer Berlin Heidelberg, January 2014
DOI 10.1007/978-3-642-54140-7_6
Book ISBNs
978-3-64-254139-1, 978-3-64-254140-7
Authors

Michael Meadows, Dave Cliff

Editors

Wilfried Elmenreich, Falko Dressler, Vittorio Loreto

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 1 9%
Unknown 10 91%

Demographic breakdown

Readers by professional status Count As %
Other 3 27%
Student > Ph. D. Student 3 27%
Researcher 2 18%
Student > Doctoral Student 1 9%
Professor 1 9%
Other 0 0%
Unknown 1 9%
Readers by discipline Count As %
Computer Science 5 45%
Economics, Econometrics and Finance 2 18%
Social Sciences 2 18%
Unknown 2 18%