Mohammad Reza Fadavi Amiri
Fanous Parang

According to the development of science and technology, every day the progress made in various fields and disciplines. The Internet and its related technologies have become very popular in human life in recent decades. Expansion of Internet facilitates remote communication and the emergence of virtual communities. Virtual communities are known as the virtual social networks, behave as a community and in it, we can see the interaction of people towards each other. Here, data analysis is very important in order to predict some behavioral characteristics with the assumption that such powerful tools like intelligent algorithms are also available. In this paper, we used the advantage of intelligent algorithms in order to extract the available knowledge in social networks and we also discussed the individual's behavior in the specific field. For this purpose, different models and methods have been evaluated. Results indicated that using Neuro-Fuzzy Systems can be the best approach for anticipating human behavior in social networks.

Human Behavior; Neuro-Fuzzy Systems; Social Network; Neuro-Fuzzy Networks