Research And Implementation Of Trend Analysis Based Network Consensus Monitor System (TANCMS)

The highly developed Internet provides us an unprecedented open and fast share platform of information. People are fond of expressing their opinion on networks because of its immediacy and concealment. People's ideology is now being greatly affected by network consensus. It is not only important but also urgent to monitor and control network consensus. Based on many years'devoted studies in technologies of network security, the author carried out the research and implementation of trend analysis based network consensus monitor system (TANCMS).In the first part of this paper, the system framework and solutions of main functional modules of TANCMS were designed. There are four layers designed in TANCMS, the data transfer layer, the info pretreatment layer, the trend analysis layer and the application layer. The design of data transfer layer includes modules as transfer and storage mode, as well as the security mechanism. The design of info pretreatment layer includes modules of reiterations and noises removing, Chinese participle, and info abstracting. The design of trend analysis layer includes modules of info classification, auto clustering and statistic analyzing. The design of the application layer includes modules as intelligent search engine, the baleful information check, the system management, and all kinds of application interface and user interface.In succession, the author lucubrated in the research and implementation of techniques of information trend analysis, which is the principal part of TANCMS. Trend analysis technology is a group of methods, such as reiterations and noises removing, file classification, clustering, and information searching. The effective combination of these methods can provide more comprehensive and in-depth analysis of network consensus.In the last part of the paper, the author detailed the characteristics and functions of TANCMS by examples of the network consensus monitor system used in inspecting network consensus, and then pointed out further subjects should devote in monitoring of network consensus.