• M. SRILATHA
• SREEDHAR BHUKYA
• PRASANTA KUMAR SAHOO

Friend suggestion plays major role in social networks. Most of the social networks such as facebook, twitter, flickr use friend suggestion based on searching techniques, common friends, where as their results are not that accurate. In this paper we propose a “precise friend suggestion algorithm” for correlating different social networks, which includes two main components 1) we associate different social networks by selecting significant features to make friend suggestions.2)we suggest friends based on tag and post similarity by preserving network structure. We conduct experiments to illustrate that proposed algorithm suggests friends more precisely.

"PRECISE FRIEND SUGGESTION BY ASSOCIATING MULTIPLE NETWORKS ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.427-432, February-2019, Available :http://www.jetir.org/papers/JETIR1902163.pdf

"PRECISE FRIEND SUGGESTION BY ASSOCIATING MULTIPLE NETWORKS ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp427-432, February-2019, Available at : http://www.jetir.org/papers/JETIR1902163.pdf