LARGE SCALE AGENT-BASED MODELING: SIMULATING TWITTER USERS
LARGE SCALE AGENT-BASED MODELING: SIMULATING TWITTER USERS
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Date
2016
Authors
Ariyaratne, Arjuna
Advisor
Rand, William
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Abstract
This thesis details an attempt to conduct a large-scale Agent-based modeling
simulation where simulating Twitter users are used as an example. In this thesis,
Computational Mechanics is used for developing rules that govern each Agent. This
thesis also details the development of an entirely new simulation software capable of
simulating a large number of Agents by taking advantage of the parallelism offered
by latest computing platforms. Development details of this simulation software,
named elixrABM, is available from the concept phase to the testing phase of the
simulator.