Microscopic Structural Analysis of Complex Networks: An Empirical Study Using Motifs

Complex Networks can depict a clear image of real-world systems. A real-world scenario can be represented a graph with interconnected layers - called a multilayer network. Finding motifs can give an idea of the topology of complex systems and help understand the graphs’ dynamics. Looking...

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Main Authors: Lekshmi S. Nair, Jo Cheriyan, J. Swaminathan
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9737093/
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author Lekshmi S. Nair
Jo Cheriyan
J. Swaminathan
author_facet Lekshmi S. Nair
Jo Cheriyan
J. Swaminathan
author_sort Lekshmi S. Nair
collection DOAJ
description Complex Networks can depict a clear image of real-world systems. A real-world scenario can be represented a graph with interconnected layers - called a multilayer network. Finding motifs can give an idea of the topology of complex systems and help understand the graphs’ dynamics. Looking at motifs as atoms of the network is helpful to analyze the relationship between nodes and between layers. This work suggests a sub-graph enumeration approach to find and count the motifs in a multilayer network. The proposed work has many applications in graph mining, particularly to the structure and dynamics of complex networks.
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spelling doaj.art-7f056f6ff88e444caef99b94f5a2d63f2022-12-22T02:34:05ZengIEEEIEEE Access2169-35362022-01-0110332203322910.1109/ACCESS.2022.31602069737093Microscopic Structural Analysis of Complex Networks: An Empirical Study Using MotifsLekshmi S. Nair0https://orcid.org/0000-0002-4471-2160Jo Cheriyan1https://orcid.org/0000-0002-4154-3963J. Swaminathan2https://orcid.org/0000-0001-5646-3213Department of Computer Science and Engineering, Amrita Vishwa Vidyapeetham, Amritapuri, Kerala, IndiaDepartment of Computer Science and Engineering, Amrita Vishwa Vidyapeetham, Amritapuri, Kerala, IndiaDepartment of Computer Science and Engineering, Amrita Vishwa Vidyapeetham, Amritapuri, Kerala, IndiaComplex Networks can depict a clear image of real-world systems. A real-world scenario can be represented a graph with interconnected layers - called a multilayer network. Finding motifs can give an idea of the topology of complex systems and help understand the graphs’ dynamics. Looking at motifs as atoms of the network is helpful to analyze the relationship between nodes and between layers. This work suggests a sub-graph enumeration approach to find and count the motifs in a multilayer network. The proposed work has many applications in graph mining, particularly to the structure and dynamics of complex networks.https://ieeexplore.ieee.org/document/9737093/Complex networksisomorphismgraph enumerationmotifs
spellingShingle Lekshmi S. Nair
Jo Cheriyan
J. Swaminathan
Microscopic Structural Analysis of Complex Networks: An Empirical Study Using Motifs
IEEE Access
Complex networks
isomorphism
graph enumeration
motifs
title Microscopic Structural Analysis of Complex Networks: An Empirical Study Using Motifs
title_full Microscopic Structural Analysis of Complex Networks: An Empirical Study Using Motifs
title_fullStr Microscopic Structural Analysis of Complex Networks: An Empirical Study Using Motifs
title_full_unstemmed Microscopic Structural Analysis of Complex Networks: An Empirical Study Using Motifs
title_short Microscopic Structural Analysis of Complex Networks: An Empirical Study Using Motifs
title_sort microscopic structural analysis of complex networks an empirical study using motifs
topic Complex networks
isomorphism
graph enumeration
motifs
url https://ieeexplore.ieee.org/document/9737093/
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AT jocheriyan microscopicstructuralanalysisofcomplexnetworksanempiricalstudyusingmotifs
AT jswaminathan microscopicstructuralanalysisofcomplexnetworksanempiricalstudyusingmotifs