Start Date
14-12-2012 12:00 AM
Description
Viral marketing exploits social networks to market new product, where users are encouraged to recommend products to their friends. Propagating model is base of other researches on viral marketing, which describes how marketing information is propagated from seed users to other users. In this paper, it is found that currently widely used Independent Cascade (IC) model is not adapted to marketing context where a user will accept recommendation only when the recommendation come from a lot of his friends. Based on the finding, k-order propagating model oriented to marketing context is proposed. Two specific k-order propagating are studied, respectively General_KP and Binary_KP. Using Twitter, Friendster and Random dataset, there 384 experiments are made to show propagating results based on proposed models. The results shows that influence order k is has important influence on propagating process, which illustrate that k-order propagating model is important for viral marketing.
Recommended Citation
Yu, Li; Li, Qiulin; and Xun, Liang, "Research on Viral Marketing Propagating Oriented to Marketing Context" (2012). ICIS 2012 Proceedings. 11.
https://aisel.aisnet.org/icis2012/proceedings/DigitalNetworks/11
Research on Viral Marketing Propagating Oriented to Marketing Context
Viral marketing exploits social networks to market new product, where users are encouraged to recommend products to their friends. Propagating model is base of other researches on viral marketing, which describes how marketing information is propagated from seed users to other users. In this paper, it is found that currently widely used Independent Cascade (IC) model is not adapted to marketing context where a user will accept recommendation only when the recommendation come from a lot of his friends. Based on the finding, k-order propagating model oriented to marketing context is proposed. Two specific k-order propagating are studied, respectively General_KP and Binary_KP. Using Twitter, Friendster and Random dataset, there 384 experiments are made to show propagating results based on proposed models. The results shows that influence order k is has important influence on propagating process, which illustrate that k-order propagating model is important for viral marketing.