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首页> 外文会议>2012 Second International Conference on Business Computing and Global Informatization. >Mining Core Groups Based on Network-Influence Set for Web Viral Marketing
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Mining Core Groups Based on Network-Influence Set for Web Viral Marketing

机译：基于网络影响集的网络病毒营销核心群体挖掘

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摘要

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.
机译：网络病毒式营销正在迅速成为电子商务领域的重要营销策略，核心群体在网络病毒式营销中起着重要的作用。为了合理有效地挖掘客户群中的核心群体，首先介绍了基于Web客户信任网络构建节点网络影响集的原理和方法以及一种称为BUNES（构建网络影响集）的算法。提出了一种挖掘核心组的算法MCGNES（基于网络影响集的挖掘核心组）。网络影响集还可以用于描述Web客户信任网络中节点之间的复杂关系。通过使用不同的阈值，实验结果表明该算法具有较低的时间复杂度和较高的网络覆盖率。

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