CFP last date
22 April 2024
Reseach Article

Twitrends: A Real Time Trending Topics Detection System for Twitter Social Network

by Cosmina Ivan, Andrei Moldovan
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 152 - Number 4
Year of Publication: 2016
Authors: Cosmina Ivan, Andrei Moldovan

Cosmina Ivan, Andrei Moldovan . Twitrends: A Real Time Trending Topics Detection System for Twitter Social Network. International Journal of Computer Applications. 152, 4 ( Oct 2016), 16-25. DOI=10.5120/ijca2016911785

@article{ 10.5120/ijca2016911785,
author = { Cosmina Ivan, Andrei Moldovan },
title = { Twitrends: A Real Time Trending Topics Detection System for Twitter Social Network },
journal = { International Journal of Computer Applications },
issue_date = { Oct 2016 },
volume = { 152 },
number = { 4 },
month = { Oct },
year = { 2016 },
issn = { 0975-8887 },
pages = { 16-25 },
numpages = {9},
url = { },
doi = { 10.5120/ijca2016911785 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-06T23:57:16.254718+05:30
%A Cosmina Ivan
%A Andrei Moldovan
%T Twitrends: A Real Time Trending Topics Detection System for Twitter Social Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 152
%N 4
%P 16-25
%D 2016
%I Foundation of Computer Science (FCS), NY, USA

Big Data processing applications have become popular in the last few years. One of the main reasons is that the data generated by current systems and applications is more complex, have a higher speed and its volume increases exponentially. Another reason would be that the traditional methods for data processing and storage are obsolete and the new tools and frameworks brought a lot of advantages. Various social networks need to process big volumes of data, and users take into consideration the speed and quality of the process. We propose an initial approach for processing data from Twitter social network, in a system which allows a real-time classification of tweets based on topics and user location. With this approach we argue that in a dynamic world, were data increases exponentially and the processing needs to be very fast, the proposed system is capable to determine trending topics in real time.

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Index Terms

Computer Science
Information Sciences


Twitter trending topics real-time geolocation Big Data