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A Systematic Review on Complex Networks and its Performance Evaluation Metrics

by Selasie A. Brown, Patrick Kudjo, Francis Amavi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 175 - Number 13
Year of Publication: 2020
Authors: Selasie A. Brown, Patrick Kudjo, Francis Amavi
10.5120/ijca2020920614

Selasie A. Brown, Patrick Kudjo, Francis Amavi . A Systematic Review on Complex Networks and its Performance Evaluation Metrics. International Journal of Computer Applications. 175, 13 ( Aug 2020), 27-37. DOI=10.5120/ijca2020920614

@article{ 10.5120/ijca2020920614,
author = { Selasie A. Brown, Patrick Kudjo, Francis Amavi },
title = { A Systematic Review on Complex Networks and its Performance Evaluation Metrics },
journal = { International Journal of Computer Applications },
issue_date = { Aug 2020 },
volume = { 175 },
number = { 13 },
month = { Aug },
year = { 2020 },
issn = { 0975-8887 },
pages = { 27-37 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume175/number13/31514-2020920614/ },
doi = { 10.5120/ijca2020920614 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:24:57.560720+05:30
%A Selasie A. Brown
%A Patrick Kudjo
%A Francis Amavi
%T A Systematic Review on Complex Networks and its Performance Evaluation Metrics
%J International Journal of Computer Applications
%@ 0975-8887
%V 175
%N 13
%P 27-37
%D 2020
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The rapid advancement in computer systems has generated an increasing interest in the study and analysis of complex networks and its applications in the real world. Previous studies on complex networks have mainly been focused on investigating and presenting theories and concepts that explain the basic models such as regular graphs, random graphs, small-world networks, and scale-free networks with its application in the field of business, sociology, biology, immunology, and technology. In order to better comprehend the recent progress in complex systems, this paper reviews extensively, the current progress made towards complex network analysis by exploring four core aspects of complex network. The fundamental aspects reviewed are Random Graph, Scale-Free, Biological Networks, and Small World. Additionally, an in-depth analysis of the theoretical models, tools, techniques, and evaluation metrics applied in previous studies are presented. Finally, the paper provides a thorough analysis of complex network, report some related works, and attempt to address some challenges associated with using discrete-event simulators for performance evaluation of complex networks.

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Index Terms

Computer Science
Information Sciences

Keywords

Complex Network Random Graph Biological Networks Small World Social Network Network Simulators

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