Labels Propagation for Profiles Categorization in Social Networks
Lobna Hlaoua, Wafa Karoui · Cybernetics & Systems · 2021
Categorization of profiles in social networks represents one of the most interesting current challenges. Indeed, nowadays social networks have an inevitable role in the decision-making of Internet users. Detecting categories of profiles, which can play the role of influencers, can make a difference in understanding the structures and the functions of networks. With the exponential growth of data, and since we are talking about machine learning methods, classical techniques have become of poor efficiency. In this article, we introduce Weighted Categories Propagation (WCP), an improvement of existing methods which benefit from the labels propagation to consider the influence of social relationships on profile categorization. The efficiency of WCP is experimentally validated. Experiments carried out on the data set of RepLab 2014 indicate that WCP outperforms similar methods.