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99 lines
2.7 KiB
ReStructuredText
99 lines
2.7 KiB
ReStructuredText
Usage
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-----
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First of all, you need to install the package. See :doc:`installation` for installation instructions.
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Simulation Settings
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===================
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Once installed, before running a simulation, you need to configure it.
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* In the settings.py file you will find the configuration of the network.
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.. code:: python
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# Network settings
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network_type = 1
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number_of_nodes = 1000
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max_time = 50
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num_trials = 1
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timeout = 2
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* In the Simulation Settings JSON file, you will find the configuration of the models.
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Network Types
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=============
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There are three types of network implemented, but you could add more.
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.. code:: python
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if settings.network_type == 0:
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G = nx.complete_graph(settings.number_of_nodes)
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if settings.network_type == 1:
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G = nx.barabasi_albert_graph(settings.number_of_nodes, 10)
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if settings.network_type == 2:
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G = nx.margulis_gabber_galil_graph(settings.number_of_nodes, None)
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# More types of networks can be added here
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Models Settings
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===============
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After having configured the simulation, the next step is setting up the variables of the models.
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For this, you will need to modify the Simulation Settings JSON file.
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.. code:: json
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{
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"agent": ["SISaModel","ControlModelM2"],
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"neutral_discontent_spon_prob": 0.04,
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"neutral_discontent_infected_prob": 0.04,
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"neutral_content_spon_prob": 0.18,
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"neutral_content_infected_prob": 0.02,
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"discontent_neutral": 0.13,
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"discontent_content": 0.07,
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"variance_d_c": 0.02,
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"content_discontent": 0.009,
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"variance_c_d": 0.003,
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"content_neutral": 0.088,
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"standard_variance": 0.055,
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"prob_neutral_making_denier": 0.035,
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"prob_infect": 0.075,
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"prob_cured_healing_infected": 0.035,
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"prob_cured_vaccinate_neutral": 0.035,
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"prob_vaccinated_healing_infected": 0.035,
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"prob_vaccinated_vaccinate_neutral": 0.035,
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"prob_generate_anti_rumor": 0.035
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}
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In this file you will define the different models you are going to simulate. You can simulate as many models
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as you want.
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After setting up the models, you have to initialize the parameters of each one. You will find the parameters needed
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in the documentation of each model.
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Parameter validation will fail if a required parameter without a default has not been provided.
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Running the Simulation
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======================
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After setting all the configuration, you will be able to run the simulation. All you need to do is execute:
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.. code:: bash
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python soil.py
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The simulation will return a dynamic graph .gexf file which could be visualized with
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`Gephi <https://gephi.org/users/download/>`__.
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It will also return one .png picture for each model simulated.
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