DocumentCode :
651639
Title :
Leveraging Social Interactions to Suggest Friends
Author :
Nia, Roozbeh ; Erlandsson, Fredrik ; Johnson, Henric ; Wu, S. Felix
Author_Institution :
Univ. of California, Davis, Davis, CA, USA
fYear :
2013
fDate :
8-11 July 2013
Firstpage :
386
Lastpage :
391
Abstract :
Over the past decade Online Social Networks (OSNs) have made it possible for people to stay in touch with people they already know in real life; although, they have not been able to allow users to grow their personal social network. Existence of many successful dating and friend finder applications online today show the need and importance of such applications. In this paper, we describe an application that leverages social interactions in order to suggest people to users that they may find interesting. We allow users to expand their personal social network using their own interactions with other users on public pages and groups in OSNs. We finally evaluate our application by selecting a random set of users and asking them for their honest opinion.
Keywords :
social networking (online); OSN; dating applications; friend finder applications; friend suggestion; online social networks; personal social network; social interactions; Communities; Context; Electronic mail; Facebook; Privacy; Silicon compounds; Friend Suggestion; Social Interactions; Social Networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Distributed Computing Systems Workshops (ICDCSW), 2013 IEEE 33rd International Conference on
Conference_Location :
Philadelphia, PA
Print_ISBN :
978-1-4799-3247-4
Type :
conf
DOI :
10.1109/ICDCSW.2013.93
Filename :
6679919
Link To Document :
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