Predicting Users' Value Changes by the Friends' Influence from Social Media Usage
United International University（联合国际大学）；American International University Bangladesh（孟加拉美国国际大学）；Military Institute of Science and Technology（军事科学技术研究所）；Edith Cowan University（伊迪斯科文大学）
Basic human values represent a set of values such as security, independence, success, kindness, and pleasure, which we deem important to our lives. Each of us holds different values with different degrees of significance. Existing studies show that values of a person can be identified from their social network usage. However, the value priority of a person may change over time due to different factors such as life experiences, influence, social structure and technology. Existing studies do not conduct any analysis regarding the change of users' value from the social influence, i.e., group persuasion, form the social media usage. In our research, first, we predict users' value score by the influence of friends from their social media usage. We propose a Bounded Confidence Model (BCM) based value dynamics model from 275 different ego networks in Facebook that predicts how social influence may persuade a person to change their value over time. Then, to predict better, we use particle swarm optimization based hyperparameter tuning technique. We observe that these optimized hyperparameters produce accurate future value score. We also run our approach with different machine learning based methods and find support vector regression (SVR) outperforms other regressor models. By using SVR with the best hyperparameters of BCM model, we find the lowest Mean Squared Error (MSE) score 0.00347.
The Susceptibility Paradox in Online Social Influence
Information Sciences Institute, University of Southern California（南加州大学信息科学研究所）；Thomas Lord Department of Computer Science, University of Southern California（南加州大学托马斯·洛德计算机科学系）
