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Complex Networks X

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Cover of 'Complex Networks X'

Table of Contents

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    Book Overview
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    Chapter 1 Observability of Dynamical Networks from Graphic and Symbolic Approaches
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    Chapter 2 Exploratory Factor Analysis of Graphical Features for Link Prediction in Social Networks
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    Chapter 3 An Efficient Approach for Counting Occurring Induced Subgraphs
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    Chapter 4 A Generalized Configuration Model with Degree Correlations
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    Chapter 5 Missing Data Augmentation for Bayesian Exponential Random Multi-Graph Models
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    Chapter 6 Spread and Control of Misinformation with Heterogeneous Agents
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    Chapter 7 Long-Term Behavior in Evolutionary Dynamics from Ergodicity Breaking
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    Chapter 8 Combining Path-Constrained Random Walks to Recover Link Weights in Heterogeneous Information Networks
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    Chapter 9 The Structure and Evolution of an Offline Peer-to-Peer Financial Network
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    Chapter 10 Modelling Students’ Thematically Associated Knowledge: Networked Knowledge from Affinity Statistics
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    Chapter 11 Graph Convolutional Networks on Customer/Supplier Graph Data to Improve Default Prediction
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    Chapter 12 Multidimensional Outlier Detection in Interaction Data: Application to Political Communication on Twitter
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    Chapter 13 Social Media Vocabulary Reveals Education Attainment of Populations
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    Chapter 14 Exploring the Role and Nature of Interactions Between Institutes in a Local Affiliation Network
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Title
Complex Networks X
Published by
Springer International Publishing, May 2019
DOI 10.1007/978-3-030-14459-3
ISBNs
978-3-03-014458-6, 978-3-03-014459-3
Editors

Cornelius, Sean P., Granell Martorell, Clara, Gómez-Gardeñes, Jesús, Gonçalves, Bruno

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