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In this article, a novel framework to prevent manipulation behavior in consensus reaching process under social network group decision making is proposed, which is based on a theoretically sound optimal feedback model. The manipulation behavior classification is twofold: first, “individual manipulation” where each expert manipulates his/her own behavior to achieve higher importance degree (weight); and second, “group manipulation” where a group of experts force inconsistent experts to adopt specific recommendation advices obtained via the use of a fixed feedback parameter. To counteract “individual manipulation,” a behavioral weights assignment method modeling sequential attitude ranging from “dictatorship” to “democracy” is developed, and then a reasonable policy for group minimum adjustment cost is established to assign appropriate weights to experts. To prevent “group manipulation,” an optimal …