The WKU Epi Games dataset represents a simulated epidemic or game environment with dynamic encounters over 15 time periods. It provides both node-level attributes and a longitudinal edgelist.
A list with two data frames:
**attributes**: A data frame with 594 rows and 9 variables representing nodes:
Unique identifier for the participant.
Time of Adoption (1 to 15), representing when the individual was first infected. Non-infected individuals have `NA`.
Cumulative count of times the player participated or scored positively in informative/educational "quarantine" questionnaires.
Cumulative count of times the non-quarantine questionnaire factor was registered.
Proportion of time (across 15 steps) the participant used the mask intervention (0.0 to 1.0).
Proportion of time the individual used pharmacological interventions or treatments.
Experimental group or node cohort.
Final score obtained in the game.
Final state label ("infected" or "not_infected").
**edgelist**: A longitudinal data frame with 23,684 rows and 4 variables representing edges/contacts:
Origin node ID of the contact.
Destination node ID of the contact.
Time period of the contact (1 to 15).
Strength, duration, or density of the exposure.
WKU Epi Game simulation
Other diffusion datasets:
brfarmers,
brfarmersDiffNet,
diffusion-data,
epigamesDiffNet,
fakeDynEdgelist,
fakeEdgelist,
fakesurvey,
fakesurveyDyn,
kfamily,
kfamilyDiffNet,
medInnovations,
medInnovationsDiffNet