Residual Closeness in Cycles and Related Networks
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Date
2013
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Ios Press
Open Access Color
Green Open Access
No
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
Abstract
Networks are known to be prone to node or link failures. A central issue in the analysis of networks is the assessment of their stability and reliability. The main aim is to understand, predict, and possibly even control the behavior of a networked system under attacks or disfunctions of any type. A central concept that is used to assess stability and robustness of the performance of a network under failures is that of vulnerability. A network is usually represented by an undirected simple graph where vertices represent processors and edges represent links between processors. Different approaches to properly define a measure for graph vulnerability has been proposed so far. In this paper, we study the vulnerability of cycles and related graphs to the failure of individual vertices, using a measure called residual closeness which provides a more sensitive characterization of the graph than some other well-known vulnerability measures.
Description
Keywords
Graph vulnerability, Closeness, Network design and communication, Stability, Communication network, Cycles, Graphs, Polynomials, Diameter, Network design and communication in computer systems, graph vulnerability, cycles, Closeness, stability, Reliability, testing and fault tolerance of networks and computer systems, Communication network, Cycles, Graph theory (including graph drawing) in computer science, communication network, Network design and communication, Graph vulnerability, closeness, Stability, network design and communication
Fields of Science
0102 computer and information sciences, 01 natural sciences
Citation
WoS Q
Q4
Scopus Q
Q3

OpenCitations Citation Count
19
Source
Fundamenta Informatıcae
Volume
124
Issue
3
Start Page
297
End Page
307
PlumX Metrics
Citations
CrossRef : 19
Scopus : 32
Captures
Mendeley Readers : 2
SCOPUS™ Citations
32
checked on Mar 15, 2026
Web of Science™ Citations
36
checked on Mar 15, 2026
Page Views
1
checked on Mar 15, 2026
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