Event time-space Analysis Based on Multi-Factors of Network Group Information
Yang Fang, Ling-Yu Xu, Jie Yu, Lei Wang, Yunlan Xue, Yang Liu · 2015
Network group information refers to views expressed by the masses of netizens through the network carrier, for the social hot spots and important events within a certain time frame, a network domain.The number change of group information can reflect a hot issue, and from the content of group information, we can find event information.In this article, based on time series of group information activity, we find abnormal activity time through cluster algorithm.We also detect events through group information in abnormal activity time.Finally, from the perspective of time and space, we analyse influence degree of the event to the related fields.