Controversy has erupted after 21% of manuscript reviews for an international AI conference were found to be generated by artificial intelligence.

Elsa Andres, Romualdo Pastor-Satorras, Michele Starnini, and Márton Karsai Phys. Rev. Research 7, 043088 Behavioral adoptions of individuals are influenced by their peers in different ways. While in some cases an individual may change behavior after a single incoming influence, in other cases multiple cumulated attempts of social influence are necessary for the same outcome. These two mechanisms, known as simple and complex contagion, often occur together in social contagion phenomena, yet their distinguishability based on the observable contagion dynamics is challenging. In this paper we define a social contagion model evolving on temporal networks where individuals can switch between contagion mechanisms. We explore three spreading scenarios: predominated by simple or complex contagion, or where the dominant mechanism changes during the unfolding process. We propose analytical and numerical methods relying on global spreading observables to identify which of these three scenarios characterizes a social spreading outbreak. This work offers insights into social contagion dynamics on temporal networks, without assuming prior knowledge about the contagion mechanism driving the adoptions of individuals. Read the full article at: link.aps.org

npj Science of Food - The networks of ingredient combinations as culinary fingerprints of world cuisines

Overview of the Position: The Yale Department of Linguistics seeks candidates for a Postdoctoral Associate in Computational Linguistics, who would work under the guidance of Professor Tom McCoy. Applicants...

Signed networks provide a principled framework for representing systems in which interactions are not merely present or absent but qualitatively distinct: friendly or antagonistic, supportive or confl...