Information spreading in a population modeled by continuous asynchronous probabilistic cellular automata

A symbiosis between cellular automata and dynamic weighted multigraph with application on virus spread modeling

“…Modeling the dynamic of heterogeneous spaces using CA leads to defining the weights of neighborhood to reflect the varying impacts of nearby cells [34] , [35] , [36] . The weighted adjacency presentation can increase the modeling power of CA, especially in cases neighboring cells do not necessarily interact and influence each other similarly.…”

“…Another feature that make CA more flexible is the ability to adjust the connectivity strength for cells during simulation [36] , [37] , [38] . This feature is very useful for modeling and analysis of control measures such as blocking the entry of imported cases by mandatory quarantine upon arrival, an entry ban for nonresidents and requiring a negative test result from arrivals, passenger monitoring and other protective protocols applied dynamically during the outbreak of COVID-19 [39] , [40] , [41] , [42] , [43] , [44] , [45] .…”

New energy dominant technology diffusion mechanism based on cellular automation model—The case of the current market and policy environment

“…Chen (2019) developed a cellular automaton model on social forces interaction in building evacuation, where the positive and negative impacts of social forces on evacuation time were simulated and analyzed 50 . Silva et al (2020) proposed a model for information propagation in a population based on CA 51 . Dewen (2018) built an improved CA model in congested traffic conditions that differentiates vehicle combinations and considers both vehicle physical performance and driving behavior difference in car‐following behavior 52 .…”