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Proof of concept simulation to evaluate using graph storage in agent-based simulations. Uses behavior rules by J. Xie, S. Sreenivasan, G. Korniss, W. Zhang, C. Lim and # K. Szymanski on "Social Consensus Through the Influence of Committed Minorities", published in Physical Review E 84(1) # 011130, July 2011 (8 pages).

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Proof of concept simulation to evaluate using graph storage in agent-based simulations. Uses behavior rules by J. Xie, S. Sreenivasan, G. Korniss, W. Zhang, C. Lim and # K. Szymanski on "Social Consensus Through the Influence of Committed Minorities", published in Physical Review E 84(1) # 011130, July 2011 (8 pages).

This project requires a user to install and configure a Neo4j database. I do not discuss how to do that because the documentation at neo4j.org is supurb and I am just beginning to use that resource in my research.

The Python requires installation of additional packages: iGraph (python-igraph) and Py2Neo (py2neo).

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Proof of concept simulation to evaluate using graph storage in agent-based simulations. Uses behavior rules by J. Xie, S. Sreenivasan, G. Korniss, W. Zhang, C. Lim and # K. Szymanski on "Social Consensus Through the Influence of Committed Minorities", published in Physical Review E 84(1) # 011130, July 2011 (8 pages).

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