Twitter学者开放数据集

Twitter学者开放数据集是由加拿大达尔豪斯大学信息管理学院等机构创建的，旨在通过开放数据源如OpenAlex和Crossref Event Data来识别和匹配Twitter上的学者。该数据集包含近500,000对学者与其Twitter账户的匹配数据，具有高精度和中等召回率。数据集的创建过程依赖于一种简单的匹配算法，该算法通过比较学者和Twitter用户名称来实现匹配。该数据集主要用于研究学者在Twitter上的互动，以及科学知识在社交媒体上的传播方式，旨在解决社交媒体指标（altmetrics）研究中的关键问题。

The Twitter Scholar Open Dataset was created by institutions including the School of Information Management, Dalhousie University, Canada, and other relevant organizations. It aims to identify and match scholars on Twitter via open data sources such as OpenAlex and Crossref Event Data. This dataset contains nearly 500,000 matched pairs of scholars and their corresponding Twitter accounts, with high precision and moderate recall. The dataset's development relies on a simple matching algorithm that achieves matching by comparing the names of scholars and Twitter users. It is mainly used to study scholars' interactions on Twitter and the dissemination of scientific knowledge on social media, intending to address key issues in social media metrics (altmetrics) research.