IJSDR Research Journal
International Journal of Scientific Development and Research - IJSDR
(An International Open Access Journal)
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2455-2631


Issue: July 2019

Volume 4 | Issue 7

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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
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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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