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Using Treaps for Optimization of Graph Storage

by Dharya Arora, Shalini Batra
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 41 - Number 14
Year of Publication: 2012
Authors: Dharya Arora, Shalini Batra
10.5120/5612-7888

Dharya Arora, Shalini Batra . Using Treaps for Optimization of Graph Storage. International Journal of Computer Applications. 41, 14 ( March 2012), 41-44. DOI=10.5120/5612-7888

@article{ 10.5120/5612-7888,
author = { Dharya Arora, Shalini Batra },
title = { Using Treaps for Optimization of Graph Storage },
journal = { International Journal of Computer Applications },
issue_date = { March 2012 },
volume = { 41 },
number = { 14 },
month = { March },
year = { 2012 },
issn = { 0975-8887 },
pages = { 41-44 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume41/number14/5612-7888/ },
doi = { 10.5120/5612-7888 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:29:37.414898+05:30
%A Dharya Arora
%A Shalini Batra
%T Using Treaps for Optimization of Graph Storage
%J International Journal of Computer Applications
%@ 0975-8887
%V 41
%N 14
%P 41-44
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Adjacency matrix is an effective technique used to represent a graph or a Social network comprising of large number of vertices and edges. The intent is of this paper is to optimize the graph storage and mapping without using a large adjacency matrix to represent a large graph. A special data structure Treap, a combination of binary search tree and heaps has been used as a replacement to a large adjacency matrix. It has been experimentally evaluated that the proposed approach significantly improves the space occupied by adjacency matrix and helps the graph to grow dynamically without affecting the current data structure.

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Index Terms

Computer Science
Information Sciences

Keywords

Storage Optimization Graph Mapping Treap Data Structure Adjacency Matrix

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