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License: BSD 3-Clause "New" or "Revised" License
Python library for simulating contact processes on network.
License: BSD 3-Clause "New" or "Revised" License
==================== NepidemiX README.txt ==================== Simulation of contact processes on networks. NeipdemiX is a Python software package for running complex process simulations on networkx graphs. A Simulation consists of a network (graph) and a Process that updates the state of the network entities (nodes and edges). Documentation ============= See doc/*.rst Installation ============ See doc/download_and_installation.rst Contributors ============ Programming ----------- Lukas Ahrenberg <[email protected]> Testing ------- Sarah Kok Ali Nadaf Acknowledgments --------------- Krisztina Vasarhelyi Sandy Rutherford Ralf Wittenberg Bojan Ramadanovic and Julio Montaner
I want to study the power of influence of a specific node with SIR model, hence I want to know how to set a specific node to Infectious status, I would be grateful for any suggestions. Thanks.
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There seems to be an error with copying graph information between iterations in the main loop if the network update is carried out, basically resulting in incorrect mean field values. This could also impact the constant topology or runNetworkUpdate=False in some cases.
The sate syntax for AttributeStateProcesses { : }, interferes with the range parsing syntax ::.
Options not defined and with a default value of None are written back to file in the original copy of configurations saved by the simulation.
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