Reducing redundant information to find simplifying patterns in data sets and complex networks is a scientific challenge in many knowledge fields. Moreover, detecting the dimensionality of the data is ...

Scientists from Huazhong University of Science and Technology have used finite-time stability theory to achieve swift and accurate topology identification in networks that exhibit time delays and ...

This article is part of a larger project by The Michigan Daily to examine University of Michigan research trends by analyzing academic paper citations. The Michigan Daily spoke with Mark Newman, ...

Complex systems as a research area focuses on studying systems composed of many interacting components whose collective behavior exhibits nonlinearity, emergence, adaptation, and self-organization. It ...

Filippo Radicchi, professor of Informatics at the Luddy School of Informatics, Computing, and Engineering, co-authored a ground-breaking study that could lead to the development of new AI algorithms ...

Electrical distribution systems are characterized by dynamic operating conditions and complex network topologies, which pose ...