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Network Algorithms, Data Mining, and Applications

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Network Algorithms, Data Mining, and Applications
Springer International Publishing

Table of Contents

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    Book Overview
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    Chapter 1 Fairness in Resource Allocation: Foundation and Applications
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    Chapter 2 Mixed Integer Programming for Searching Maximum Quasi-Bicliques
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    Chapter 3 Graph Clustering Via Intra-Cluster Density Maximization
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    Chapter 4 Computational Complexity of SRIC and LRIC Indices
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    Chapter 5 A Survey on Variable Neighborhood Search Methods for Supply Network Inventory
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    Chapter 6 GSM: Inductive Learning on Dynamic Graph Embeddings
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    Chapter 7 Collaborator Recommender System
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    Chapter 8 Visual Product Recommendation Using Neural Aggregation Network and Context Gating
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    Chapter 9 Network Structure and Scheme Analysis of the Russian Language Segment of Wikipedia
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    Chapter 10 Indirect Influence Assessment in the Context of Retail Food Network
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    Chapter 11 Facial Clustering in Video Data Using Deep Convolutional Neural Networks
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    Chapter 12 The Existence and Uniqueness Theorem for Initial-Boundary Value Problem of the Same Class of Integro-Differential PDEs
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    Chapter 13 Mapping of Politically Active Groups on Social Networks of Russian Regions (On the Example of Karachay-Cherkessia Republic)
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    Chapter 14 Social Mechanisms of the Subject Area Formation. The Case of “Digital Economy”
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    Chapter 15 Methodology for Measuring Polarization of Political Discourse: Case of Comparing Oppositional and Patriotic Discourse in Online Social Networks
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    Chapter 16 Network Analysis Methodology of Policy Actors Identification and Power Evaluation (The Case of the Unified State Exam Introduction in Russia)
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Title
Network Algorithms, Data Mining, and Applications
Published by
Springer International Publishing, January 2020
DOI 10.1007/978-3-030-37157-9
ISBNs
978-3-03-037156-2, 978-3-03-037157-9
Editors

Ilya Bychkov, Valery A. Kalyagin, Panos M. Pardalos, Oleg Prokopyev

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