论文信息 - LARGE SCALE AGENT-BASED MODELING: SIMULATING TWITTER USERS

LARGE SCALE AGENT-BASED MODELING: SIMULATING TWITTER USERS

Title of Thesis: LARGE SCALE AGENT-BASED MODELING: SIMULATING TWITTER USERS Arjuna Ariyaratne, Master of Science, 2016 Thesis directed by: Professor William Rand Institute for Systems Research 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. MODELING AGENT BEHAVIOR THROUGH PAST ACTIONS : SIMULATING TWITTER USERS

Arjuna Ariyaratne | A. Ariyaratne

[1] Albert-László Barabási,et al. Collective Response of Human Populations to Large-Scale Emergencies , 2011, PloS one.

[2] William Rand,et al. An Introduction to Agent-Based Modeling: Modeling Natural, Social, and Engineered Complex Systems with NetLogo , 2015 .

[3] James Odell,et al. Between order and chaos , 2011, Nature Physics.

[4] Laura M. Castro,et al. On modelling agent systems with erlang , 2004, ERLANG '04.

[5] Vincent Gramoli,et al. More than you ever wanted to know about synchronization: synchrobench, measuring the impact of the synchronization on concurrent algorithms , 2015, PPoPP.

[6] Corrado Santoro,et al. eXAT: an Experimental Tool for Programming Multi-Agent Systems in Erlang , 2003, WOA.

[7] Tom Fawcett,et al. An introduction to ROC analysis , 2006, Pattern Recognit. Lett..

[8] James P. Crutchfield,et al. An Algorithm for Pattern Discovery in Time Series , 2002, ArXiv.

[9] Yichuan Jiang,et al. Diffusion in Social Networks: A Multiagent Perspective , 2015, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[10] James P. Crutchfield,et al. Computational Mechanics: Pattern and Prediction, Structure and Simplicity , 1999, ArXiv.

[11] David Darmon,et al. Statistical Methods for Analyzing Time Series Data Drawn from Complex Social Systems , 2015 .

[12] David Darmon,et al. Understanding the Predictive Power of Computational Mechanics and Echo State Networks in Social Media , 2013, 1306.6111.