Presenting a model based on social network analysis in order to offer a diet to users proper to their mood

This study presents a model offering people which food is healthier and makes them more satisfied based on their moods and food consumption behaviors. The social network analysis techniques are applied on the food consumption of the people whom were recorded in information systems. The implementation method is according to this procedure: first, people classified to 6 groups based on their nutrition style getting from the Islamic traditional medicine and some previous papers in the modern medicine. Then, a data network was made from people's relationships. Afterwards, a model has been presented based on the analysis of that network. To evaluate this model, the proposed method is applied on a university's self-service restaurant system. The results show that people with a healthy or "hot and wet" temperament nutrition style, have personality traits of "extraversion", "openness" and "conscientiousness". Moreover, people with a traditional nutrition style or "cold and wet" temperament nutrition, are people with personality traits of "introversion" and "neuroticism".