A Binary Voting Power Measure Method Based on Social Network and View Interaction

Members of the group decision-making often interact before voting, and tend to be influenced by people they communicate with. Such connections often comprise a social network and can be analyzed using the theory and method of complex network. Thus, we defined the ability of change the initial inclination of neighbor-voters as the Recessive Power, and proposed a binary voting power measure model of the decision-maker’s Recessive Power. The proposed method considered the knowledge level, individual influence and self-confidence level, and the interaction of viewpoints based on the social relationship network. Finally, a case analysis was described to demonstrate the application and effectiveness of the proposed method.