  We present an open-source interface for scientists to explore Twitter data
through interactive network visualizations. Combining data collection,
transformation and visualization in one easily accessible framework, the
twitter explorer connects distant and close reading of Twitter data through the
interactive exploration of interaction networks and semantic networks. By
lowering the technological barriers of data-driven research, it aims to attract
researchers from various disciplinary backgrounds and facilitates new
perspectives in the thriving field of computational social science.
