关键词: 大数据, 动态知识网络, 知识分享, 惯性效应

Abstract: Online knowledge community is the era of big data organizational learning, collaborative innovation, an important way of knowledge and information exchange and transfer. The analysis of this online knowledge network, prediction and control is large data on economic and social data services and an important part of the decision-making advisory function. Taking CMKT Advisory Group 2 club QQ group, for example, collect all of the group’s analysis of professional exchanges in March 2016, to discuss and share records and dynamic knowledge-based networks construction CMKT these real-time data, analyze the dynamic online knowledge network of individuals knowledge sharing strategic choices, the final validation of the dynamic knowledge network to share individual acts of inertial effects. Based on this inertial effect, in big data technology support, the government, universities or research institutions and large companies can effectively analyze and predict their dynamic evolution trends build cross-organizational learning knowledge network and the timely intervention of choice or control means to direct knowledge networks, play a better role in collaborative innovation, knowledge transfer, and other aspects of cross-organizational learning.

Key words: big data, dynamic knowledge network, knowledge sharing, inertial effect