The week's pick
Reseach Article
A Method of Subgraphs Extraction in a Large Graph Database in a Distributed System
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 175 - Number 5 |
| Year of Publication: 2017 |
| Authors: Ritu Yadav, Samarth Varshney |
10.5120/ijca2017914960
|
Ritu Yadav, Samarth Varshney . A Method of Subgraphs Extraction in a Large Graph Database in a Distributed System. International Journal of Computer Applications. 175, 5 ( Oct 2017), 1-5. DOI=10.5120/ijca2017914960
Abstract
Since many real applications such as web connectivity, social networks, and so on, are emerging now-a-days, thus graph databases have been commonly used as significant tools to exemplify and query complex graph data wherein each vertex in a graph usually contains information, which can be modeled by a set of tokens or elements. The method for subgraphs extraction by considering set similarity query over a large graph database has already been proposed, which retrieves subgraphs that are structurally isomorphic to the query graph, and meanwhile satisfy the condition of vertex pair matching with the (dynamic/fixed) weighted set similarity in a centralized system. This paper explains the efficient implementation of subgraphs extraction in a large graph database in a distributed environment by considering both vertex set similarity and graph topology which offers a better price/performance ratio and increases availability using redundancy when parts of a system fail than centralized systems in case of a large dataset (i.e., a graph with millions/billions of nodes wherein each node contains some information) by performing parallel processing.
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