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
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