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
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