Tao Wang

TL;DR: This article sought to fill the gap by harnessing Weibo data and natural language processing techniques to classify the COVID-19-related information into seven types of situational information and found specific features in predicting the reposted amount of each type of information.

TL;DR: The ITS services enabled by crowdsourcing, the keyword co-occurrence and coauthorship networks formed by ITS publications, and the problems and challenges that need further research are investigated.

TL;DR: An aggregated HFS group is constructed, consisting of the participants and their relationships in a comprehensive set of identified HFS episodes, which finds that, as compared with other online social networks, HFS participant network shares the power-law degree distribution and small-world property, but with a looser and more distributed organizational structure, leading to the diversity, decentralization, and independence of HFS participants.

TL;DR: This paper employs co-authorship network analysis at different levels to study the bibliographic information of 6 543 publications in social computing from 1998 to 2011 and gives a snapshot of the current research in social Computing.

TL;DR: In this article, the authors investigated the productivity and collaborations patterns in the publications of IEEE Transactions on Intelligent Transportation Systems (T-ITS) between 2010 and 2013 and found that industry is playing a more important role in research cooperation.