
doi: 10.1109/ms.2013.49
Last century, it wasn't known if data miners could find structure within software projects. This century, we know better: data mining has been successfully applied to many different artifacts from software projects. So it's time to move on to "What's next?" In the author's view, "discussion mining" is the next great challenge for the predictive modeling community. These discussion miners know that while predictions and decisions are important, so too are the questions and insights generated on the way to those conclusions.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 6 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
