State transition diagram of our model with transition probabilities per minute <i>α</i>, <i>β</i>, and <i>ρ</i>.

<p>Users tweet the rumor depending on their state (Ground, Excited, and Final) with probability <i>q</i>_<i>E</i>, and <i>q</i>_<i>G</i> = <i>q</i>_<i>F</i> = 0, respectively. Total number of users is <i>n</i> = <i>n</i>_<i>G</i>(<i>t</i>) + <i>n</i>_<i>E</i>(<i>t</i>) + <i>n</i>_<i>E</i>(<i>t</i>). <i>α</i> changes with the number of rumors, and <i>β</i> and <i>ρ</i> change with the number of rumor-corrections as given by <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0121443#pone.0121443.e002" target="_blank">Equation (2)</a>, (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0121443#pone.0121443.e003" target="_blank">3</a>), and (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0121443#pone.0121443.e004" target="_blank">4</a>).