Residual Closeness in Cycles and Related Networks

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Date

2013

Journal Title

Journal ISSN

Volume Title

Publisher

Ios Press

Open Access Color

Green Open Access

No

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OpenAIRE Views

Publicly Funded

No
Impulse
Average
Influence
Top 10%
Popularity
Top 10%

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Journal Issue

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
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OpenCitations Citation Count
19

Source

Fundamenta Informatıcae

Volume

124

Issue

3

Start Page

297

End Page

307
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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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1.3941

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