05/13/2026
research article
The authors adapt the existing theories of social identity formation and development to large-scale social media data. They apply their framework to the development of the social identity that arose from the discussion of electoral fraud in the wake of the 2020 U.S. presidential election.
Image credit: Suzi Kim
05/13/2026
research article
Campaign finance in the United States is often studied through donations from individuals, political action committees, and outside groups, but less attention has been paid to how members of Congress financially support one another within the same party. These internal transfers can reveal how parties allocate resources, reward influence, and respond to competitive elections.
Image credit: Andy Feliciotti
05/22/2026
reseaerch article
Unlike schools of fish or flocks of birds, social bats who use echolocation for navigation are faced with the complex challenge of signal processing while living and flying in groups. Interference between an individual’s calls and those of its conspecifics can be confused, making these signals difficult to study and interpret for both animals and researchers.
Image credit: Clement Falize
04/06/2026
research article
This study focuses on the contrasting dynamics of discussion and information dissemination on two influential platforms: X and Wikipedia. While X often serves as a battleground for contentious debates, where users engage in direct confrontation, Wikipedia fosters a collaborative environment aimed at reaching consensus.
Image credit: Planet Volumes
04/02/2026
research article
Cholera continues to cause significant illness and death in regions with limited access to clean water and healthcare. While mathematical models help us understand how cholera spreads, most fail to capture the full complexity involving both person-to-person contact and bacteria in water sources.
Image credit: Welu et al
04/18/2026
research article
This study explores how pruning strategies can improve the efficiency of deep neural networks (DNNs), which are widely used for tasks like image processing, medical diagnosis, etc. Although DNNs are powerful, they often contain weaker connections that can lead to increased energy consumption both during training and inference.
Image credit: Conny Schneider
04/13/2026
Review
The technology innovation in big data, artificial intelligence, urban computing, and digital twins have laid the groundwork for sophisticated city simulation. However, a gap persists between these technological capabilities and their practical implementation in addressing urban issues because they often fall short of...
Image credit: Pedro Lastra
03/05/2026
research article
Connectomes constrain how signals flow through the nervous system, shaping the transmission of sensory information to downstream targets involved in perception, decision-making, and action.
Image credit: Amal Biju Unni
03/04/2026
research article
The authors consider the problem of selecting k seed nodes in a network to maximize the minimum probability of activation under an independent cascade beginning at these seeds.
Image credit: Logan Voss
02/23/2026
research article
Attributing outputs from Large Language Models (LLMs) in adversarial settings—such as cyberattacks and disinformation campaigns—presents significant challenges that are likely to grow in importance.
Image credit: Markus Spiske
02/17/2026
research article
Firms affected by green policies are faced with higher costs for more emissions-intensive supply networks...
Image credit: Wilson & Stone
Connect with Us