Mining Core Groups Based on Network-Influence Set for Web Viral Marketing

The web viral marketing is rapidly becoming an important marketing strategy in the field of E-Business, and the core groups play an important role in the Web viral marketing. For mining the core groups in the customer groups reasonably and effectively, the principles and methods to build Network-Influence Set of node on the basis of Web Customer Trust Network and an algorithm called BUNES (Building Up a Network-Influence Set) are firstly introduced, and an algorithm of mining core groups called MCGNES(Mining Core Group Based on Network-Influence Set) is proposed in this paper. The Network-Influence Set can also be used for describing the intricate relations among nodes in Web Customer Trust Network. By using different thresholds, the experimental results show lower time complexity and higher Network Coverage of proposed algorithm.