中文摘要：

信息态是广义虚拟经济理论体系中的重要概念,在在线社交网络快速发展的今天展现出强大的生命力。本文在广义虚拟经济二元价值容介态的概念框架下,对在线社交网络上信息态传播的理论模型进行了研究,构建了UPNL模型并进行了数值模拟实验和模型参数的敏感性分析。实验结果表明,信息态本身的态度倾向性对信息态传播过程具有较大的影响,而友邻的态度是决定个体是否转变态度的决定性因素。本文的研究成果进一步丰富了信息态的研究视角,为进一步推动广义虚拟经济研究提供了有益参考。

英文摘要：

Information-state is the vital concept in generalized virtual economics. Recent years have witnessed the explosive growth of online social networks, which provide a perfect platform for observing the propagation of information-state. Based on the conceptual framework of Rong-jie state of dualistic values, an information-state propagation model called UPNL has been proposed in this paper, which considers both the positive and negative attitudes contained in the information-state and their interactions. Numerical simu- lations of UPNL have been extensively conducted, which show that the attitude bias o finformation-state has a great impact on the propagation process, and the neighbors＇ attitude is the decisive factor for a node＇s attitude shift. This research attempts to complement the theoretical framework of information-state, and thus to further promote the theory of generalized virtual economics.