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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Paper Title:	GRAPH SPECTRAL TECHNIQUES ON UNWEIGHTED NETWORK
Authors Name:	T. Kiruthika , Y. Preethi Ceon
Unique Id:	IJSDR1807016
Published In:	Volume 3 Issue 7, July-2018
Abstract:	In this paper, graph spectral techniques are used to analyzing the water distribution network. The strength of the network connectivity, most influential node and optimal number of clusters for the network partitioning are computed by eigenvalues and eigenvectors through its adjacency and laplacian matrix. This approach is based only on the topological and geometric information of the network.
Keywords:	Eigen gap, Algebraic connectivity, Spectral gap, eigenvector centrality
Cite Article:	"GRAPH SPECTRAL TECHNIQUES ON UNWEIGHTED NETWORK", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.3, Issue 7, page no.102 - 107, July-2018, Available :http://www.ijsdr.org/papers/IJSDR1807016.pdf
Downloads:	000337067
Publication Details:	Published Paper ID: IJSDR1807016 Registration ID:180488 Published In: Volume 3 Issue 7, July-2018 DOI (Digital Object Identifier): Page No: 102 - 107 Publisher: IJSDR \| www.ijsdr.org ISSN Number: 2455-2631

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