Research On Community Key Node Discover And Propagation Path Mode

With microblogging registered users continues to rise, microblogging platform has advantages in the aspects of interactive and precise positioning target user, that given the enormous opportunities of this platform, many businesses treat microblogging platform beyond traditional media as an important marketing channels. The microblogging users who have influence are the key factor to help companies enhance the reputation, how to find these users become a critical means to enhance marketing effectiveness.Unlike other complex information networks, microblogging network has its own characteristics, this allows a limitation and inadequate in the previous analysis algorithm. The research work mainly involves two areas of research, community analysis algorithm can analyze nodes and find out their inetrrelated; while microblogging analysis focused on feature extraction on a single user or piece of microblog. Obtained through the analysis of microblog, the actual structure of the microblog is not a static structure, it is more biased in favor of a dynamic structure, each of reprint behavior represents the path of the dissemination of information, which can analyze the flow of information to detect the key nodes. This article proposes a new algorithm to detect KOL node as well as using text mining analysis mode of transmission. The algorithm solves how to find out the influence of expanding microblogging breakthrough point, thereby optimizing the allocation of resources, as well as how to use information and communication mode to guide information dissemination then control topics trend.Using real data generated by microblogging site and processing, design a complete experimental procedure, using the actual data and view show effectiveness of the algorithm, proving the algorithm can effectively find the key node in the propagation path. Combined with the information dissemination model can effectively improve the information dissemination of results...