New centrality measures in networks : how to take into account the parameters of the nodes and group influence of nodes to nodes /

Over the last number of years there has been a growing interest in the analysis of complex networks which describe a wide range of real-world systems in nature and society. Identification of the central elements in such networks is one of the key research areas. Solutions to this problem are importa...

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Bibliographic Details
Main Authors:	Aleskerov, F. T. (Faud Tagi ogly) (Author), Shvydun, Sergey (Author), Mescheryakova, Natalia (Author)
Corporate Author:	Taylor & Francis
Format:	eBook
Language:	English
Published:	Boca Raton, FL : CRC Press, Taylor & Francis Group, 2021.
Edition:	First edition.
Subjects:	System analysis > Mathematics. Network analysis (Planning) > Mathematics. Centrality (Graph theory) Analyse de systèmes > Mathématiques. Analyse de réseau (Planification) > Mathématiques. TECHNOLOGY > Operations Research. COMPUTERS > Data Modeling & Design. MATHEMATICS > Discrete Mathematics. Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

Introduction. 1. Centrality Indices in the Network Analysis. 1.1. Classical Centrality Measures. 1.2. Short and Long-Range Interaction Centrality (LRIC) Indices. 1.3. Power of Nodes Based on Their Interdependence. 1.4. Impact of Indirect Connections in Network Structures. 1.5. Conclusion. 2. Applications. 2.1. Key Borrower Detection in the Global Financial Network. 2.2. Network Analysis of the International Migration. 2.3. Network Analysis of the Global Trade. 2.4. Influence of Countries in the Global Food Network. 2.5. Influence of Countries in the Global Arms Transfers Network. 2.6. Power Distribution in the Networks of Terrorist Groups. 2.7. Network of International Economic Journals. 2.8. Conclusion.