This paper links the micro and macro levels of analysis by examining how different aspects of community sentiment are affected by one's personal ties to the community compared with the organizational network structure of the community. Using data collected from residents of six communities in Washington State, network analysis combined with negative binomial regression is used to determine the effect of personal networks and community networks on community attachment and satisfaction. Findings suggest that while individual-level variables, such as length of residence and individual ties, affect one's attachment to community, a community's network structure does not significantly affect community attachment. However, a community's network structure significantly affects one's evaluation of community. Regardless of one's ties to the community, residents of cohesive communities are more likely to evaluate the community's social and physical environments more positively. (Contains 5 tables, 1 figure and 5 footnotes.)