Incentive Rewarding Method for Information Propagation in Social Networks

A problem in the social-network-based intaraction distribution is that people are less motivated to forward information when psychological forwarding cost is large. The simplest solution for this is to compensate for the cost by giving people incentive reward when they forward information. However, it is unclear that, even if we successfully propagate information over the whole social network by the incentive reward, this propagation is meaningful for the sender (original information source). Therefore, in this paper, we propose a novel incentive rewarding method where incentive reward is assigned to a forwarder only when the receiver reacts to the forwarded information. In our method, forwarders are motivated to attach their own recommendation comment when they forward information. As a result, our method can promote receivers to react the information without increasing the total amount of incentive reward, compared with the method that gives incentive reward independently of the receiver's reaction.

[1]  Albert-László Barabási,et al.  Statistical mechanics of complex networks , 2001, ArXiv.

[2]  Hideo Miyahara,et al.  Human-network-based filtering: the information propagation model based on word-of-mouth communication , 2003, 2003 Symposium on Applications and the Internet, 2003. Proceedings..

[3]  Ryoichi Shinkuma,et al.  Incentive Mechanism Considering Variety of User Cost in P2P Content Sharing , 2008, IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference.

[4]  F. E. Grubbs Procedures for Detecting Outlying Observations in Samples , 1969 .

[5]  Nada Nasr Bechwati,et al.  Word of Mouse , 2008 .