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A Framework of Social Media Analytics for wildfire hazards
Presentation by Dr. Xinyue Ye, Founding Director of Computational Social Science Lab at Kent State University.
Noon - 1:30, Room S354, CGIS South Building, 1730 Cambridge St.
Abstract: Social media data are increasingly being used for enhancing situational awareness and assisting disaster management. We analyzed the wildfire-related Twitter activities in terms of their attributes pertinent to space, time, content, and network, so as to gain insights into the usefulness of social media data in revealing situational awareness. Findings show that social media data can characterize the wildfire across space and over time, and thus are applicable to provide useful information on disaster situations. Second, people have strong geographical awareness during wildfire hazards, and are interested in communicating situational updates related to wildfire damage (e.g., containment percentage and burned acres), wildfire response (e.g., evacuation), and appreciation to firefighters. Third, news media and local authorities are opinion leaders and play a dominant role in the wildfire retweet network.
Bio: Dr. Xinyue Ye is the founding director of Computational Social Science Lab at Kent State University. His research focuses on space-time analytics development, implementation, and application in the context of big social data. His work won the national first-place award of "research and analysis" from the US University Economic Development Association in 2011 and he received the emerging scholar award from AAG’s Regional Development and Planning Specialty Group in 2012. Recent and current main federal research projects include University Center Program (Department of Commerce), Coastal Ohio Wind (Department of Energy), Comparative Space-Time Dynamics (National Science Foundation), Spatiotemporal Modeling of Human Dynamics Across Social Media and Social Networks (National Science Foundation), TrajAnalytics: A Cloud-based Visual Analytics Software System to Advance Transportation Studies Using Emerging Urban Trajectory Data (National Science Foundation), and Support Community-Scale Intervention Initiatives by Visually Mining Social Media Trajectory Data (National Science Foundation).
Lunch will be served.