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posted on 2024-05-16, 17:46 authored by Jiaqi Wen, Bogdan Gabrys, Katarzyna Musial
<p>The average values and standard deviations of infection occurrences in 100 iterations in the evolving social networks based on a random backbone network under the impact of one seed (a), two seeds (b) and three seeds (b). In each scenario, the evolving social networks are respectively driven by inactive, ignorant, egocentric, cooperative and collaborative mutation styles.</p>

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    transfer social capitalsocial connections betterresults also showrandomly mutates preferencescomplex social systemschangeable connection preferencesevolutionary digital twinreduce infection riskshigher infection risksnodes &# 8217total interaction utilitiesinteraction utilitiesinfection patternsepidemic risksvarious interactioninteraction patternsstudy proposessimulation experimentsresearch challengepositive feedbackpeople interactnode featuresnegative impactmany yearsinactive styleignorant styleevolutionary dtegocentric stylecooperative stylecooperative nodescollaborative stylecollaborative nodescnss reveal

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