Interaction Dynamics in a Social Network Using Hidden Markov Model

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Agents interactions in a social network are dynamic and stochastic. We model the dynamic interactions using the hidden Markov model, a probability model which has a wide array of applications. The transition matrix with three states, forgetting, reinforce
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