The past few decades have witnessed a prevalence of applying dynamical models to the
study of social networks. This paper reviews recent advances in the investigation of social …

Humans update their social behavior in response to past experiences and changing
environments. Behavioral decisions are further complicated by uncertainty in the outcome of …

Establishing connections between material impurities and charge transport properties in
emerging electronic and quantum materials, such as wide‐bandgap semiconductors …

Hamilton's rule provides the cornerstone for our understanding of the evolution of all forms of
social behavior, from altruism to spite, across all organisms, from viruses to humans. In …

There is a pressing need to better understand how microbial populations respond to
antimicrobial drugs, and to find mechanisms to possibly eradicate antimicrobial-resistant …

Theoretical studies from diverse areas of population biology have shown that demographic
stochasticity can substantially impact evolutionary dynamics in finite populations, including …

Electronic defects in semiconductors form the basis for emerging quantum technologies, but
many defect centers are difficult to access at the single-particle level. A method for probing …

Microbial populations generally evolve in volatile environments, under conditions fluctuating
between harsh and mild, eg as the result of sudden changes in toxin concentration or …

Recent empirical studies have revealed that social interactions among agents in realistic
networks merely exist intermittently and occur in a particular sequential order. However, it …

Asymmetry is a common phenomenon in real life due to constraints such as status, age,
information, reputation, and so on. Yet it is still unclear how asymmetrical interactions driven …