Find a video exploring this research on YouTube.

The rise and fall of network stars

May 23, 2019

Michael Fire, previous eScience postdoctoral fellow, and Carlos Guestrin, senior data science fellow, have published a paper titled “The rise and fall of network stars: analyzing 2.5 million graphs to reveal how high-degree vertices emerge over time” in the Journal of Information Processing and Management.

Fire and Guestrin constructed the largest publicly available network evolution dataset to date, which contains 38,000 real-world networks and 2.5 million graphs. Moreover, their research helps us to better understand how new trends emerge in the real world (for example, how one might become a YouTube star.)

The study took about two years to complete, with a revision process taking an additional year and a half. The pair also created a video on YouTube (see below) which helps to explain their research.

Learn more about this project in the eScience Research Feature “Fake profiles detection on online social networks.”

Find a video exploring this research on YouTube.
Find a video exploring this research on YouTube.