(University of California – Santa Cruz) Models and algorithms for analyzing complex networks are widely used in research and affect society at large through their applications in online social networks, search engines, and recommender systems. According to a new study, however, one widely used algorithmic approach for modeling these networks is fundamentally flawed, failing to capture important properties of real-world complex networks.

Original source: https://www.eurekalert.org/pub_releases/2020-03/uoc–ssw031620.php