arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2003.03599cs.SI
收藏

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

Armin Pournaki, Felix Gaisbauer, Sven Banisch, Eckehard Olbrich

摘要:

我们提出了一个开放源代码的界面,科学家通过交互式网络可视化来探索Twitter数据。twitter explorer将数据汇集、转换和可视化结合在一个易于访问的框架中,通过交互网络和语义网络的交互式探索,将Twitter数据的远距离和近距离阅读联系起来。通过降低数据驱动研究的技术障碍,它旨在吸引来自不同学科背景的研究人员,并促进计算社会科学蓬勃发展领域的新观点。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑