The customer network in E-commerce systems changes continuously over time, while the dynamics is ignored by current researches on data mining for viral marketing, making sequential marketing strategies unavailable.For mine core group, a dynamic mining algorithm called DMCG is proposed, which is based on network change log.By using some necessary information recorded in network change log, such as updated nodes, event type and so on, corresponding processing is performed to avoid re-computing the unchanged nodes when choosing core group in the next step.The experiments results show that DMCG can dynamically mine core group effectively, and meet the needs of making sequential marketing strategies.
SU Mei-mei
. Dynamic core group mining in E-commerce web viral marketing[J]. Journal of Shenyang Aerospace University, 2013
, 30(2)
: 85
-89
.
DOI: 10.3969/j.issn.2095-1248.2013.02.019
[1]中国互联网络信息统计中心.第30次中国互联网络发展状况统计报告[R].北京:2012.
[2]2011中国市场研究报告网[EB/OL].http://www.ewise.com.cn.
[3]夏秀峰, 赵秀涛.客户信任网络下病毒式营销核心群体的挖掘[J].小型微型计算机系统, 2011(1):56-60.
[4]赵秀涛.Web病毒式营销中的挖掘技术研究[D].沈阳:沈阳航空工业学院, 2011.
[5]Mislove A, Marcon M, Gummad K P.2007 Internet Measurement Conference, Proc of the 7th ACM SIGCOMM conference on Internet measurement, [c]San Diego, California, USA, 2007.
[6]JΦsang A, Bhuiyan T.Optimal trust networks analysis with subjective logic[ C]//The second International Conference on Emerging Security Information, Systems and Technologies.France, 2008.
[7]Xia Xiufeng, Li Ying, Cong Lihui.Web viral marketing based construction strategy of customer trust Network[C]//The Fourth International Conference on Computational and Information Sciences, 2012:425-429.
[8]Yang J M, Yao C Z, Ma W C.A study of the spreading scheme for viral marketing based on acomplex network model[J].physica A, 2010 (389):859-870.