Modeling and Simulation of Polarization in Internet Group Opinions Based on Cellular Automata

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transform="matrix(.013,0,0,-0.013,8.914,0)"><path d="M535 323V373H52V323H535ZM535 138V188H52V138H535Z" id="g117-34"></path><glyph.data ascent="3473" descent="-2876" horiz-adv-x="587" vert-adv-y="587"></glyph.data></g><g transform="matrix(.013,0,0,-0.013,20.177,0)"><path d="M241 635C89 635 35 457 35 312C35 153 89 -12 240 -12C390 -12 443 166 443 312C443 466 390 635 241 635ZM238 602C329 602 354 454 354 312C354 172 330 22 240 22C152 22 124 173 124 313S148 602 238 602Z" id="g113-49"></path><glyph.data ascent="3473" descent="-2876" horiz-adv-x="480" vert-adv-y="480"></glyph.data></g></svg>, two opinion leaders influence the polarization of Internet group opinions. (a) Opinions distribution at 100 time steps; the opinion of two opinion leaders is −0.6 and 0.8, respectively. (b) Opinions distribution at 1000 time steps; the opinion of two opinion leaders changes to −1 and 1, respectively. (c) Opinions of group change with time when there are two opinion leaders. (d) Histogram of final distribution of group opinions.</div>

Discrete Dynamics in Nature and Society

fig15

Figure 15

Figure 15: Modeling and Simulation of Polarization in Internet Group Opinions Based on Cellular Automata 