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docs/examples/activated.md

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## Motivation and Starter Code
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Instead of just the number of activated nodes, suppose that we want
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to get the nodes themselves. We start with the same code as the basic
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example from the reademe:
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to get the nodes themselves. We start with similar code as the basic
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example from the README:
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```python
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import random
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## Obtaining the activated nodes
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Next, we run the model until completion and can view the
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nodes that were activated.
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nodes that were activated:
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```python
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model.advance_until_completion()

pyproject.toml

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[tool.poetry]
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name = "cynetdiff"
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version = "0.1.11"
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version = "0.1.12"
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description = "A fast network diffusion library"
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authors = ["Eliot W. Robson <eliot.robson24@gmail.com>"]
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license = "MIT"

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