Abstract：The modeling and analysis of the influence maximization in social network is one of the key issues in social network analysis. Its research has great significance in both theory and practical application. In this paper, we use different characteristics to apply it to information teaching in colleges and universities, forming the social big data needed for theoretical analysis in the learning environment, and at the same time, these data lay a theoretical foundation. Through the results of theoretical research, the interests of the learners are recommended and the corresponding learning plans are made for some learners.
陈伯伦, 花勇, 袁燕, 李芬芬, 张正伟. 社交网络影响力最大化在高校信息化教学中的探讨[J]. 电脑与电信, .
CHEN Bo-lun, HUA Yong, YUAN Yan, LI Fen-fen, ZHANG Zheng-wei. Discussion on the Influence Maximization of Social Network in the Teaching of Information Technology in Universities. Computer & Telecommunication, 2018, 1(3): 1-3.
