Micro-blogging Hotspot Discovery Method Based on Centralization

In order to solve the problem of massive pieces of information on micro-blogs,this paper studies the centralization theory-based hotspot discovery methods for micro-blogs,in consideration of the features of micro-blogging content such as short text,variety of sources and diverse means of dissemination.Through the structured metadata acquired from open APIs,some metadata models for micro-blogging content are analyzed,and the hotspot discovery process is regarded as a value-added process of the original materials to clusters of hot products.For initial and deep processing methods during the production process,some data pre-processing techniques as well as short text clustering-based and disseminating path and users behavior-based centralizing techniques are proposed.And a complete production and processing model is established.Finally,a series of experiments have verified the theoretical achievement.