User Influence Analysis Based on Blogs

Social networks play an important and indispensable role in the internet, especially for governments and organizations. Social networks are information diffusion networks with users as the node and the relationships between users functioning as the vehicle. In this paper we propose three different type of algorithms to compute the user influence based on users' behavior of forwarding micro blogs and the symbol of @ in the micro blogs. We evaluate the effectiveness of the algorithm by comparing the results of our algorithms and the trained data in the dataset and the results demonstrate promising performance.