Discovering Hot Topics On Social Network Based OnImproving The Aging Theory

In this paper, we focus on discovering information on the social network to discover automatically the hot topics in real time. Wesuggest using aging theory for finding hot topics and using thetools for processing natural language and data processing model.We create a perfect general model. This system will help us findhot interesting topics on the social network in real time. With thisidea, we will build a survey system which is the most accurateoverview of the real world. If we can discover the interestingtopics on the social networks, we can solve many problems in ourpresent lives such as: to predict favored industry, the rising ofconsumer goods, Internet user community’s psychology, theobjects that exchange information for each event, and to determinethe direction of the social network.

کلیدواژه ها:

Social network analysis ، LDA model ، SVM model ، aging theory