Analyzing, Modeling, and Simulation for Human Dynamics in Social Network

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="208791.fig.003a" src="https://static.hindawi.com/articles/aaa/volume-2012/208791/figures/208791.fig.003a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>Relation between time <i>t</i> and message number <i>N</i> of all the users over 24 hours</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="208791.fig.003b" src="https://static.hindawi.com/articles/aaa/volume-2012/208791/figures/208791.fig.003b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>Relation between time <i>t</i> and message number <i>N</i> at individual level over 24 hours</td></tr></table></td></tr></table>

<table>Message data over 24 hour. Note: “1” on the <i>x</i>-axis means from “0” to “1” o’clock, “2” means from “1” to “2”, and so on.</table>

Abstract and Applied Analysis

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Figure 3: Analyzing, Modeling, and Simulation for Human Dynamics in Social Network 