The combination of large-scale trace data generated through social media with a series of advances in computing and statistics have enabled the growth of ‘computational social science’ (Lazer et al., 2009). This turn presents an unprecedented opportunity for researchers who can now test social theories using massive datasets of fine-grained, unobtrusively collected behavioral data. In this chapter, we aim to introduce non-technical readers to the promise of these computational social science techniques by applying three of the most common approaches to a bibliographic dataset of social media scholarship. We use our analyses as a context for discussing the benefits of each approach as well as some of ...
A Computational Analysis of Social Media Scholarship
A computational analysis of social media scholarship