Predicting the knowledge flow of social networks based on machine learning

Abstract

Abstract Predicting the release of information deals with the path of publishing a news or information or topic in a structural data such as a graph. Researchers in this field seek to solve the following questions by providing methods for predicting the path of publication: 1-Which information or topics that are most common, 2-Why, how and in what Information path will be published and will be published in the future? And 3-Which network member has an important role in the dissemination process? Machine learning is an area which has been very helpful recently in order to answer such questions. Machine learning as an artificial intelligence subset presents so acceptable to predict the dissemination of information. Since predicting novel users who are in information flow is the process of diagnostic, the issue is able to be solved by the algorithms of Machine learning.