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Ubiquitous Search Engine

by Pooja Vyas, Archith Menon, Aditya Ravindran, Samit Shivadekar
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 117 - Number 20
Year of Publication: 2015
Authors: Pooja Vyas, Archith Menon, Aditya Ravindran, Samit Shivadekar
10.5120/20673-3429

Pooja Vyas, Archith Menon, Aditya Ravindran, Samit Shivadekar . Ubiquitous Search Engine. International Journal of Computer Applications. 117, 20 ( May 2015), 24-27. DOI=10.5120/20673-3429

@article{ 10.5120/20673-3429,
author = { Pooja Vyas, Archith Menon, Aditya Ravindran, Samit Shivadekar },
title = { Ubiquitous Search Engine },
journal = { International Journal of Computer Applications },
issue_date = { May 2015 },
volume = { 117 },
number = { 20 },
month = { May },
year = { 2015 },
issn = { 0975-8887 },
pages = { 24-27 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume117/number20/20673-3429/ },
doi = { 10.5120/20673-3429 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:59:57.363646+05:30
%A Pooja Vyas
%A Archith Menon
%A Aditya Ravindran
%A Samit Shivadekar
%T Ubiquitous Search Engine
%J International Journal of Computer Applications
%@ 0975-8887
%V 117
%N 20
%P 24-27
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Ubiquitous Search engine is a non-conventional search engine. It is built with an intended function of finding the most influential node in a network or given data set. The objective is to find centers of influence in social networks. It can be used as a tool for data mining and analyzing it further for optimum use of the user's benefit. The system is implemented using Hadoop and Big Data. It aims at increasing the performance of the system and rendering results in fastest possible way by implementing suitable algorithm for the same. Hadoop is used to support parallel computing whi0ch provides a base for simultaneous search on multiple machines. Big data is a large amount of data which can be analyzed and converted into useful information. The data set taken for this project is of 'Twitter', a micro blogging website as it uses a follower relationship rather than friend concept.

References
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  10. Koschützki, Dirk; Katharina A. Lehmann; Leon Peeters; Stefan Richter; Dagmar Tenfelde-Podehl; Oliver Zlotowski (2005). "Centrality Indices". In Ulrik Brandes, Thomas Erlebach. Network Analysis – Methodological Foundations. LNCS 3418. Springer Verlag, Heidelberg, Germany. pp. 16–60. ISBN 978-3-540-24979-5. 4
  11. Aggarwal, C. C. (2011). Social Network Data Analysis. New York, NY: Springer
Index Terms

Computer Science
Information Sciences

Keywords

Parallel Computing Hadoop MapReduce Big data Twitter Influence

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