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Stack Implementation of Adjacency List for Representation of Graphs

Authors: A. Yadav; R. Jindal; A. Bhat;

Stack Implementation of Adjacency List for Representation of Graphs

Abstract

Graph theory has played a vital role in implementation of many mathematical and computer applications [8]. The immensely critical role of graph theory calls for an efficient methodology of representing the graphs. In this paper we explore an approach to represent the graphs [1] through adjacency lists using stacks instead of the conventional methods that use linked list for creating adjacency lists [3][7]. The method discussed here is motivated by the practical requirements in terms of performance and implementation ease. We propose a new methodology to create the adjacency lists for storing the graphs through a stack [9] within an array. The array is used to store the initial vertex of every edge present in the graph. All array elements will be associated with a stack which can be used to store the end points of the edges. It provides a better mechanism of storing graphs in database as compared to the existing technique which suffers from the problem of memory allocation as it does not use the contiguous memory.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
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