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Complex networks analysis: centrality measures


 
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1. Title Title of document Complex networks analysis: centrality measures
 
2. Creator Author's name, affiliation, country Ali Ali Saber; University of Alkitab; Iraq
 
2. Creator Author's name, affiliation, country Noor Kaylan Hamid; University of Alkitab; Iraq
 
3. Subject Discipline(s)
 
3. Subject Keyword(s) Betweenness centrality; Centrality; Closeness centrality; Complex networks; Degree centrality
 
4. Description Abstract The centrality of an edge in a graph is proposed to be the degree of sensitivity of a graph distance function to the weight of the edge under consideration. Many centrality metrics are available in network analysis and are effectively used in the investigation of social network properties. Node position is one of them. In this paper, we propose a novel importance of nodes showing how to locate the most essential nodes in a network and to construct a centrality measure for each node in the network, sort the nodes by centralities, and focus on the top ranked nodes, which are the most relevant in terms of this centrality measure. Our research aims to explain how to identify the most important nodes in networks. A centrality metric should be established for each node in the network, and then the nodes based on their centralities, focusing on the top-ranked nodes, which in light of this importance, might be regarded as the most pertinent measure.
 
5. Publisher Organizing agency, location Institute of Advanced Engineering and Science
 
6. Contributor Sponsor(s)
 
7. Date (YYYY-MM-DD) 2023-03-01
 
8. Type Status & genre Peer-reviewed Article
 
8. Type Type
 
9. Format File format PDF
 
10. Identifier Uniform Resource Identifier https://ijeecs.iaescore.com/index.php/IJEECS/article/view/29654
 
10. Identifier Digital Object Identifier (DOI) http://doi.org/10.11591/ijeecs.v29.i3.pp1642-1647
 
11. Source Title; vol., no. (year) Indonesian Journal of Electrical Engineering and Computer Science; Vol 29, No 3: March 2023
 
12. Language English=en en
 
14. Coverage Geo-spatial location, chronological period, research sample (gender, age, etc.)
 
15. Rights Copyright and permissions Copyright (c) 2022 Institute of Advanced Engineering and Science
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