Author/Authors :
Yin, Hong-Jian Software College - Northeastern University, Liaoning, China , Yu, Hai Software College - Northeastern University, Liaoning, China , Zhao, Yu-Li Software College - Northeastern University, Liaoning, China , Zhu,Zhi-Liang Software College - Northeastern University, Liaoning, China , Zhang, Wei Software College - Northeastern University, Liaoning, China
Abstract :
In recent years, with the development of the social network theories, how to find or mining the most significant node in social network for understanding or controlling the information dissemination has become a hot topic and a series of effective algorithms have been presented. In this paper, a new scheme to measure the dynamic influence of the nodes in a social network is proposed, in which the sum of trust values of the propagation nodes is used. Simulations have been carried out and the results show that our scheme is stable and accurate.
