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A visualization framework for social activity-travel studies was proposed and implemented on the basis of existing social network models and needs for GPS -based travel data mining. Four visualization tasks were identified to reveal spatiotemporal characteristics of individuals with different personal attributes and social networks. Software constructs and algorithms were developed for visual construction and analysis of social networks, relation typology, and influential factor identification. The final verification result shows that our visualization framework is effective to identify social dimension of activity-travel behavior.