Multi-Criteria Seed Selection for Targeting Multi-Attribute Nodes in Complex Networks

Online environments have evolved from the early-stage technical systems to social platforms with communication mechanisms resembling interactions which can be found in real world. marketers are using close relations between users of networks more easily propagate marketing contents their advertising campaigns. Such viral campaigns proven provide better results than traditional online marketing, hence increasing research interest topic. While majority up-to-date focuses on maximizing global coverage and influence complete network, some studies been conducted area budget-constrained conditions as well targeting particular groups nodes. In this paper, a novel approach multi-attribute nodes complex is presented, an MCDA method various preference weights for all criteria used select initial seeds best reach targeted network. The proposed shows symmetric characteristics—while network decreased, amongst grows.