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Complex Networks XIV

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Cover of 'Complex Networks XIV'

Table of Contents

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    Book Overview
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    Chapter 1 Brain’s Dynamic Functional Organization with Simultaneous EEG-fMRI Networks
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    Chapter 2 Comparative Study of Random Walks with One-Step Memory on Complex Networks
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    Chapter 3 Network Entropy as a Measure of Socioeconomic Segregation in Residential and Employment Landscapes
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    Chapter 4 Community Structure in Transcriptional Regulatory Networks of Yeast Species
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    Chapter 5 Learned Monkeys: Emergent Properties of Deep Reinforcement Learning Generated Networks
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    Chapter 6 Targeted Attacks Based on Networks Component Structure
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    Chapter 7 The Effect of Link Recommendation Algorithms on Network Centrality Disparities
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    Chapter 8 CoreGDM: Geometric Deep Learning Network Decycling and Dismantling
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    Chapter 9 The Impact of a Crisis Event on Predicting Social Media Virality
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    Chapter 10 Evaluating the Bayesian MRP Network Model for Estimating Heterogeneity in (Age-Stratified) Contact Patterns from Highly Selective Samples
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    Chapter 11 Academic Mobility as a Driver of Productivity: A Gender-centric Approach
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    Chapter 12 Getting the Boot? Predicting the Dismissal of Managers in Football
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    Chapter 13 Nature vs. Nurture in Science: The Effect of Researchers Segregation on Papers’ Citation Histories
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    Chapter 14 Using Vector Fields in the Modelling of Movements as Flows
Attention for Chapter 8: CoreGDM: Geometric Deep Learning Network Decycling and Dismantling
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Chapter title
CoreGDM: Geometric Deep Learning Network Decycling and Dismantling
Chapter number 8
Book title
Complex Networks XIV
Published by
Springer, Cham, January 2023
DOI 10.1007/978-3-031-28276-8_8
Book ISBNs
978-3-03-128275-1, 978-3-03-128276-8
Authors

Grassia, Marco, Mangioni, Giuseppe

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 33%
Unknown 2 67%
Readers by discipline Count As %
Computer Science 1 33%
Unknown 2 67%