New centrality measures in networks: (Record no. 6309)

MARC details
000 -LEADER
fixed length control field 02446nam a22002297a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240217115257.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240217b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781032063195
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 003
Item number ALE
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Aleskerov, Fuad
245 ## - TITLE STATEMENT
Title New centrality measures in networks:
Remainder of title how to take into account the parameters of the nodes and group influence of nodes to nodes
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc. CRC Press
Place of publication, distribution, etc. Boca Raton
Date of publication, distribution, etc. 2022
300 ## - PHYSICAL DESCRIPTION
Extent xii, 101 p.
365 ## - TRADE PRICE
Price type code GBP
Price amount 48.99
490 ## - SERIES STATEMENT
Series statement CRC Focus Series
520 ## - SUMMARY, ETC.
Summary, etc. 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 important for making strategic decisions and studying the behavior of dynamic processes, e.g. epidemic spread. The importance of nodes has been studied using various centrality measures. Generally, it should be considered that most real systems are not homogeneous: nodes may have individual attributes and influence each other in groups while connections between nodes may describe different types of relations. Thus, critical nodes detection is not a straightforward process.<br/><br/>New Centrality Measures in Networks presents a class of new centrality measures which take into account individual attributes of nodes, the possibility of group influence and long-range interactions and discusses all their new features. The book provides a wide range of applications of network analysis in several fields – financial networks, international migration, global trade, global food network, arms transfers, networks of terrorist groups, and networks of international journals in economics. Real-world studies of networks indicate that the proposed centrality measures can identify important nodes in different applications. Starting from the basic ideas, the development of the indices and their advantages compared to existing centrality measures are presented.<br/><br/>(https://www.routledge.com/New-Centrality-Measures-in-Networks-How-to-Take-into-Account-the-Parameters/Aleskerov-Shvydun-Meshcheryakova/p/book/9781032063195)
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Centrality (Graph theory)--System analysis
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematics
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Shvydun, Sergey
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Meshcheryakova, Natalia
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
Source of classification or shelving scheme Dewey Decimal Classification
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Bill No Bill Date Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Accession Number Date last seen Copy number Cost, replacement price Price effective from Koha item type
    Dewey Decimal Classification     Operations Management & Quantitative Techniques SBHPL/INV/1162/2023-2024 27-01-2024 Indian Institute of Management LRC Indian Institute of Management LRC General Stacks 02/17/2024 Sarat Book House Pvt. Ltd. 3435.91   003 ALE 005902 02/17/2024 1 5286.02 02/17/2024 Book

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