A Detection Method of Stock Event Source

Due to the development of Web technology, the research on Internet big data become more and more popular. Source tracing of event is a practical problem, however, research on event source from multi-source event data is rare. The incompleteness and incredibility of Internet data are challenging issues for detecting event source. In this paper, event is mapped into Network Public Opinion Data Space (OS) and Actual Behavior Data Space (BS) to describe event by multi-viewer. We propose Event Model (EM) and Event Convergent Scope Detection Algorithm (ECSDA) to detect the event source. The experimental results prove that the EM is more effective, and the ECSEA is more comprehensive and accurate.