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.009a" src="https://static.hindawi.com/articles/aaa/volume-2012/208791/figures/208791.fig.009a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>Intermessage distribution of one agent</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="208791.fig.009b" src="https://static.hindawi.com/articles/aaa/volume-2012/208791/figures/208791.fig.009b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>Effect of parameter <i>D</i> on power exponent <svg height="12.175" id="M217" style="vertical-align:-3.56265pt" version="1.1" viewbox="0 0 8.6374998 12.175" width="8.6374998" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
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</svg></td></tr></table></td></tr><tr class="fig-image" id="c"><td><img alt="208791.fig.009c" src="https://static.hindawi.com/articles/aaa/volume-2012/208791/figures/208791.fig.009c.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(c) </b>One agent’s messaging series sync with <svg height="18.6" id="M218" style="vertical-align:-5.73166pt" version="1.1" viewbox="0 0 45.575001 18.6" width="45.575001" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
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</svg> in the simulation</td></tr></table></td></tr></table>

<table>Simulation results with the two-agents scenario.</table>

Abstract and Applied Analysis

fig9

Figure 9

Figure 9: Analyzing, Modeling, and Simulation for Human Dynamics in Social Network 