Predicting user personality by mining social interactions in Facebook
作者：
Highlights：
• Some personality traits can be predicted from userʼs interaction with Facebook.
• We present TP2010, a Facebook application to collect the usersʼ personality.
• Different machine-learning techniques have been used to look for interaction patterns.
• The classifiers obtained have high accuracy when predicting user personality.
• The user number of friends and wall posts contribute to predict the user personality.
摘要
•Some personality traits can be predicted from userʼs interaction with Facebook.•We present TP2010, a Facebook application to collect the usersʼ personality.•Different machine-learning techniques have been used to look for interaction patterns.•The classifiers obtained have high accuracy when predicting user personality.•The user number of friends and wall posts contribute to predict the user personality.
论文关键词：Data mining in social networks,User modeling,Personality inference
论文评审过程：Received 25 July 2012, Revised 13 December 2012, Accepted 14 March 2013, Available online 21 March 2013.
论文官网地址：https://doi.org/10.1016/j.jcss.2013.03.008
