GEMF/example at master · niemasd/GEMF

Name		Name	Last commit message	Last commit date
parent directory ..
README.md		README.md
big_contact_network_ba.tsv		big_contact_network_ba.tsv
big_initial_states_seir.tsv		big_initial_states_seir.tsv
contact_network_complete.tsv		contact_network_complete.tsv
infected_states_seir.txt		infected_states_seir.txt
initial_states_seir.tsv		initial_states_seir.tsv
rates_seir.tsv		rates_seir.tsv

README.md

This directory contains example datasets that can be used to test GEMF_FAVITES.py:

contact_network_complete.tsv and big_contact_network_ba.tsv are example contact networks
- contact_network_complete.tsv is a small complete graph
- big_contact_network_ba.tsv is a large graph sampled under the Barabási–Albert model
initial_states_seir.tsv and big_initial_states_seir.tsv are example initial states file
- initial_states_seir.tsv should be used with contact_network_complete.tsv
- big_initial_states_seir.tsv should be used with big_contact_network_ba.tsv
infected_states_seir.txt is an infected states file for the SEIR model
- States E (Exposed) and I (Infectious) are infected states
rates_seir.tsv is a transition rates file for the SEIR model
- Individuals in state S (Susceptible) transition to state E (Exposed) at a rate proportional to the number of neighbors in state I (Infectious)
- Individuals in state E (Exposed) transition to state I (Infectious) at an internal rate (i.e., independent of the states of neighbors)
- Individuals in state I (Infectious) transition to state R (Recovered) at an internal rate (i.e., independent of the states of neighbors)