Conference Proceeding Article
Microblogging services are growing rapidly in the recent years. Twitter, one of the most popular microblogging sites, has gained more than 500 millions users. Thousands of developers are also using Twitter to communicate with one another and microblog about software-related topics such as programming languages, code libraries, etc. Understanding the behaviors of software microbloggers is one of the needed first steps toward building automated tools to encourage software microblogging activities and harness software microblogging to improve various software engineering activities. In this paper, we investigate the behaviors of software microbloggers in terms of their microblogging frequency, generated contents, and interactions among themselves. Our study is based on a dataset that contains more than 13 million microblogs generated by more than 42 thousands software microbloggers.
Databases and Information Systems | Social Media
Software and Cyber-Physical Systems
MUD 2014: 2014 4th IEEE Workshop on Mining Unstructured Data: Proceedings: 30 September 2014, Victoria, British Columbia, Canada
IEEE Computer Society
City or Country
Los Alamitos, CA
Tian, Yuan and LO, David.
An Exploratory Study on Software Microblogger Behaviors. (2014). MUD 2014: 2014 4th IEEE Workshop on Mining Unstructured Data: Proceedings: 30 September 2014, Victoria, British Columbia, Canada. 1-5. Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/2430