1718t1is428T1
StackOverflow is the largest, most trusted online community for developers to learn, share their programming knowledge, and build their careers. This is conducted through questions and answers posted on a wide range of topics related to computer programming. Such a platform heavily depends on high-quality questions and answers as well as an engaged community. Thus, some measures to screen for quality includes using ‘badges’ for users, votes on post (upvote or downvote) and closing questions that have been answered before or are irrelevant. To sustain its popularity and success, the site needs to continually draw new knowledge from its users in the fast-paced software field and these said users must constantly be engaged to contribute. As such, StackOverflow can understand better the relationships of its users via network graphs in relation to particular topics tagged to each question. By understanding social interactions better, it can guide StackOverflow to make necessary changes to keep its user base continually engaged. For instance, if StackOverflow notices a significant group of users with high upvotes for posts but do not post frequently, it can think of how can they encourage such users to use the platform regularly.
StackOverflow serves as an important information hub for software developers of diverse background to share questions and answers with one another. But for beginners, without knowing where to start or how to participate in this social network, would either find themselves overwhelmed or may find that their questions go unanswered. As such, we would like to create an application that serves to educate anyone on how to best gain or contribute back from and to StackOverflow or merely learn about the community through interactive visualizations.
Some of the general problems (questions) that we wish to address are namely:
- What questions are more likely to be answered and answered quickly.
- What are the popular subcommunities and who are the biggest contributors.
- What is the distribution of experience levels within each community.
- Measured by badges
- Measured by osts
- Measured by upvoted posts (or comments)
- Who are the influential members within each StackOverflow subcommunity.
And because we are aspiring data analytics practitioners, here are some specific problems (questions) that we wish to address.
- What are the little known technologies that are used for data analytics
- What do influential members in stackoverflow know? (What stuff do they answer on, perhaps we can build a knowledge graph for them)
