S&CC: Support Community-Scale Study by Visual Analytics of Human Mobility and Opinion Data from Social Media Data

NeighborVis is a visual analytics system that allows users to study human mobility and opinion data in a community neighborhood. It is developed to answer the simple questions about an urban community: what is happening at this location, is it good or bad, and can outcomes be improved? It may be a police department considering a blighted street, a planning department considering urban renewal and the "greening" of spaces, a community group wanting to add neighborhood gardens, or a hospital mining its child injury data. Onto this "map" other users ask questions such as: Has this community change actually done any good on this/my street? Is this a good bike path? Where can I suggest my patient go to relax? Is this community garden "safe" for a school field trip? NeighborVis uses a variety of spatial-temporal data of community residents, including social media data (e.g., tweets, micro-blogs), police reports, 911 call records, etc., to help local communities in answering these questions. It supports spatial-temporal data processing, management, query, and analytical reasoning facilitated by interactive visual interfaces. Users can interactively query the community data with spatial-temporal constraints on the map. Then they can explore and analyze the visualized results to find answers of the aforementioned questions.