Title :
Analyzing Close Friend Interactions in Social Media
Author :
Madeira, Morgan ; Joshi, Akanksha
Author_Institution :
Dept. of Comput. Sci. & Electr. Eng., Univ. of Maryland, Baltimore, MD, USA
Abstract :
Social media has increasingly become an outlet for expression in society. Users of online social networks often associate with many other users who are all treated as "friends, " even if they do not have a strong connection, or what would be described as a friendship in real life. In this paper, we present an approach for predicting a user\´s closest friends on Facebook using machine learning techniques. We identify Facebook interactions that are most useful for predicting relationship strength and are able to predict a user\´s closest friends with up to 85% accuracy.
Keywords :
data analysis; learning (artificial intelligence); social networking (online); Facebook interactions; close friend interactions analysis; machine learning techniques; online social networks; relationship strength prediction; social media; Accuracy; Data mining; Facebook; Feature extraction; Media; Prediction algorithms; data mining; machine learning; social network analysis; tie strength;
Conference_Titel :
Social Computing (SocialCom), 2013 International Conference on
Conference_Location :
Alexandria, VA
DOI :
10.1109/SocialCom.2013.145
