Software for Agent-Based Network Simulation and Visualization

Abstract

We present a network software suite that can model contagions or opinion manipulation in social networks, that combines features from the standard packages and extends them to allow complex, interacting, dynamic topologies, and dynamic heterogeneous agent types, with individual interaction policies. The framework allows for the easy implementation of new agent types, and provides flexible visualization tools to elucidate network behavior over time.

Cite

Text

Shepherd et al. "Software for Agent-Based Network Simulation and Visualization." AAAI Conference on Artificial Intelligence, 2021. doi:10.1609/AAAI.V35I18.18025

Markdown

[Shepherd et al. "Software for Agent-Based Network Simulation and Visualization." AAAI Conference on Artificial Intelligence, 2021.](https://mlanthology.org/aaai/2021/shepherd2021aaai-software/) doi:10.1609/AAAI.V35I18.18025

BibTeX

@inproceedings{shepherd2021aaai-software,
  title     = {{Software for Agent-Based Network Simulation and Visualization}},
  author    = {Shepherd, Patrick and Batts, Isaac and Goldsmith, Judy and Hufbauer, Emory and Weaver, Mia and Zhang, Angela},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2021},
  pages     = {16103-16105},
  doi       = {10.1609/AAAI.V35I18.18025},
  url       = {https://mlanthology.org/aaai/2021/shepherd2021aaai-software/}
}