Twitter is one of the viral mediums,
where news spreads all over the internet at super speed. However, there
are certain specifications over which topics will be accepted well on
Twitter. After thorough research, an application has been developed by Devarat Shah,
the associate professor. The application utilizes a systematic
algorithm, which predicts the outcomes of trends by comparing between
historical data records and real time data sets. This is an application,
in which Twitter is certainly interested; the research has been
assisted by Stanislav Nikolov, the former is an employee of Twitter.
Shah with the help of Nikolov seems to have developed a winning
application.
The interest might involve the selling of
premium averts to commercial companies; referring to it the topic is
going to flourish and trend hot over the Twitter media. However, to do
this, the application has to be verified and tested over full data set.
Advertisers might not be comfortable in buying ads, which would not
trend well, so here lies the interest of this application. However, more
than its commercial interest, it might receive the love of Twitter
users, who would certainly find it fascinating to use this application,
which will enable them to discuss on the to-be-hot topics on their
profiles, which will in turn gain more tweets and views in individual
profiles.
The researcher Mr. Shah has suggested that the use of this application
might help stock markets, stock trades, etc as well. It might also be
helpful in combating cyber crime and other threats through
identification of threats prior its propagation.
Tags
Social Media