he models can be integrated epidemiological and biological data to give insights into dynamics and patterns of disease spread [14-16]. In recent years, the network epidemiology approach is now become an important tool to analyze epidemiological data and to provide useful control and intervention measures [17, 18]. This approach is also acknowledge in medical epidemiology, mathematical biology, research on the prediction of disease and more recently network science [19, 20]. In Thailand, there are many researches on traditional trade networks for avian influenza. Pollkhet et. al. analyzed the movement and trading patterns of the backyard chicken by using social network analysis with egocentric approach [9].