This article uses the method of network analysis to examine the network structure of individual social supports in the rapidly growing suburban community. Social support network affects community inhabitants' support system. Through the use of social network method, this study attampts to understand the somposite characteristics of individual social networks and the process through which individual attains the which resources via his/her social networks. There are three kinds of individual social network, individual financial network, small help network in ever day life, and individual emotional network. The first is financial network, which constitutes 27.6 percent of all social networks. In the logistical regression, the major factors which affect the financial network include the frequency of interaction, the length of acquaintance, the types of relationship, and geographic proximity. Futhermore, individual characteristics of network members, such as sex, education, income, and occuption, also affect the financial network. The second is small help network, which constitutes 48.9 percent of all social networks. Within small help network, neighbors constituting 3l.5 percent of samll help network are more than the other types of relationship. The major factors which affect the small help network are the frequency of interaction and geographic proximity. The third is emotional network, which constitutes 37.3 percent of all social networks. The major provides of emotional resources include those who share intimate relationship, specifically parents and children. However, the homogeneity of age, sex, and religion is the alternative provides of emotional resources.