https://www.linkedin.com/profile/view?id=81193320&trk=spm_pic
ORCID more infohttps://orcid.org/0000-0002-2122-8026
GitHub more infoNo bio entered.
Studying the negative externalities of networks, and the ways in which those negatives feedback and support the continuities.
Simulates impacts of ants killing colony mates when in conflict with another nest. The murder rate is adjustable, and the environmental change is variable. The colonies employ social learning so knowledge diffusion proceeds if interactions occur.
Due to teacher requests to represent changes in atomic radius, we developed a visualization of the first 36 elements in Netlogo
Simulates impacts of ants killing colony mates when in conflict with another nest. The murder rate is adjustable, and the environmental change is variable. The colonies employ social learning so knowledge diffusion proceeds if interactions occur.
This is a basic Suceptible, Infected, Recovered (SRI) model. This model explores the spread of disease in a space. In particular, it explores how changing assumptions about the number of suceptible people, starting number of infected people, as well as the disease’s infection probability, and agents recovery probability changes the infection. The model shows that the interactions of agents can drastically affect the results of the model.
This is a basic Suceptible, Infected, Recovered (SIR) model. This model explores the spread of disease in a space. In particular, it explores how changing assumptions about the number of suceptible people, starting number of infected people, the disease’s infection probability, and average duration. In addition, this version allows users to explore how public health interventions like social distancing, masking, and isolation can affect the number of people infected. The model shows that the interactions of agents can drastically affect the results of the model.
Under development.