Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

Algorithms that identify influential people in social networks can help maximize the reach of messages, but a modeling study published in PNAS Nexus shows that those same algorithms can disseminate ...

Abstract: The architectural design of the air interface plays a critical role in wireless communications, embedding crucial functionality to guarantee both efficiency and robustness. Physical layer ...

Abstract: Influence maximization, as a key issue in social network analysis, aims to identify the most influential seed nodes to maximize the information propagation range. Traditional methods are ...