Sichen Jin

SNoMaN is designed to assist social network analysts in investigating the influence of geography on social tie formation. The tool calculates network metrics that describe network structures (e.g., degree, betweenness, modularity, density), measures local (dis)connection (e.g., local flattening ratios), identifies spatial clusters (e.g., convex hulls), and compares network distance with geographic distance.

ChatGrid presents results from a large-scale grid optimization model using five layers: a geographic network layer displaying substations and transmission lines, an animation layer for power flow, a 3D layer showing generator information, and two county-level layers with voltage and load data. ChatGrid integrates natural language interfaces for flexible user interactions. We conducted experiments to assess its performance with four query types (e.g., data lookup, value derivation, logical inference, and semantic inference) and provide insights for the use of natural language interfaces in geospatial network visualization.

CPIE is a tool for interactive coal pollution exposure and associated deaths visualization. It allows exploring the evolution of statewide deaths associated with emissions from each facility and state, which provides information to control installations and unit retirements of facilities.