Title :
´Like´: A Unique Way to Judge User Preference in Social Networking Sites
Author :
Reshu Goyal;Praveen Dhyani;O.P. Rishi
Author_Institution :
Dept. of Comput. Sci., Banasthali Vidhyapeeth, Banasthali, India
fDate :
4/1/2015 12:00:00 AM
Abstract :
Popularity and usability of Social Media in today´s scenario is universal. None of us can deny to the fact it is not only the source of communication or connection between friends but also has broaden its horizons to politics, television industry, source to advertisement for companies, education and many more[11][15]. Most of the companies or personalities are maintaining pages on these social media sites to interact with the users of these sites they are even posting messages, videos on these sites so that they can get attached by more and more users. Researches have shown even in latest 2014 elections that BJP used social media as its most liked option for promotion. The same was hit and liked by masses. Seeing this we can actually see the acceptance of ´Like´ on the social media. It has become a measure to actually analyze and capture user interest on social media. It enables one to actually calculate and measure the user liking over certain objects. It gives the clear cut idea of user interest in a particular object and thus calculations can be made accordingly for sharing and promoting information or objects on social media sites [12]. We are trying to seek a model to analyze and mine the influence of ´Like´ in social media. To calculate the effect on the object ´Like´ mining algorithm is proposed along with the network model for social media. Facebook data is being used to show the influence and effect of the approach.
Keywords :
"Media","Facebook","Feature extraction","Data mining","Visualization","Videos"
Conference_Titel :
Communication Systems and Network Technologies (CSNT), 2015 Fifth International Conference on
DOI :
10.1109/CSNT.2015.182