论文标题
Twitter Explorer：通过交互式网络观察Twitter的框架
The Twitter Explorer: a Framework for Observing Twitter through Interactive Networks
论文作者
论文摘要
我们提出了一个开源界面，供科学家通过交互式网络可视化探索Twitter数据。 Twitter Explorer将数据收集，转换和可视化结合在一个易于访问的框架中，通过交互探索交互网络和语义网络连接遥远的读取Twitter数据。通过降低数据驱动研究的技术障碍，它旨在吸引来自各种纪律背景的研究人员，并促进计算社会科学领域的新观点。
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.
