SEARCH TO UNFOLD TOPICS IN THE STREAM OF SOCIAL NETWORKS
Author’s Name : P Geethanjally | Keerthana Devaraj | M Pavithra | Shilpa Xavier |D Tamilselvi | R Dinesh Kumar
Volume 02 Issue 02 Year 2015 ISSN No: 2349-3828 Page no: 15-17
Abstract – Search to find the topic at peak discussion has now become a new trend among common people using social stream. The new topic is chosen based on the common agreement that a number of people in the same social stream come in as conclusion. Topics are either in the form of text, images, URLs and videos. Extraction of the URL is regardless of the post’s format. The posts are discovered depending on the number of mentions it has obtained. In cases of similar post an aggregate is computed of the number of mentions received by them. These detected topics are not just circulated among friends or friends of friends but shared among all the users in the same social stream. Link between the users in the same social network is made through messaging, replying, and retweet or explicitly through text. The topics are unfold based on what people discuss on and forward to friends in their circle. Recognizing of new (emerging) topics is through conventional based approach.
Keywords – Social Stream, Social Networking, Search Engines