The Pedigree Method To Mine Influential Cluster Of Topic Information In Social Network And Its Application

In the social network, topic information whether can cause the attention of internet users is closely related to users’attention, interest and participation. Users who have the same interests and preferences in order to attract more people to pay attention to the topic of their discussion always use various methods to enhance the influence of topic information which focus on the eye, frequent interaction and actively promote. Enterprise can implement the marketing information promotion activities by setting marketing topics and with the help of high impact netizen crowd enlarge marketing information content to realize the low cost marketing. Using social network to disseminate information always have specific marketing theme topic, how to find a high impact on the promotion of the marketing information contributions crow(influence cluster) is the key problem in network marketing business planning decision.In this paper,the study find population who have high influence on topic information dissemination in social network, mainly through the analysis individual who have same interests, hobbies and frequent interaction. Using the DBS CAN clustering method, construct the frequent communication sequence and influence cluster pedigree discovery algorithm, forming social network information dissemination effect of clusters found lineage topic mining method and design the application of finding population who have high impact on advertising, providing a theoretical basis and practical method for the enterprise network marketing decision.