本项目以跨平台多维度网络行为的统一表达为切入点，针对人物心理表现的多维性、个体行为的不确定性、社交网络的动态演化性，围绕体现人物心理的基本要素（个体行为和网络关系），从动（动态）、静（微观、中观）结合视角出发，研究人物心理刻画的理论和方法，构建基于网络行为的人物心理刻画验证系统。具体包括以下5方面的研究内容：（1）跨平台多维度网络行为的统一表达与融合；（2）人物心理动力学模型及关键人物识别技术；（3）基于个体行为的关键人物心理刻画方法；（4）社交网络对关键人物心理的影响机理；（5）基于网络行为的人物心理刻画验证平台。项目的实施有望突破支撑社会网络用户行为分析和人物心理刻画的关键技术瓶颈，形成网络行为数据驱动的人物心理刻画创新理论，同时为基于网络行为的人物心理刻画和行为预测提供一套系统的解决方案。

This project starts with the unified expression of cross-platform multidimensional network behaviors, aims at the multidimensional nature of persons' psychological performances, the uncertainty of individual behaviors and the dynamic evolution of social networks, centers on the basic elements that embody a person's psychology (individual behaviors and network relationships), then investigates the theories and methods of psychological characterization of persons from both dynamic and static (micro, meso) perspectives, and finally constructs a verification system of psychological characterization of persons based on network behaviors. The research contents include the following five aspects: (1) unified expression and fusion of cross-platform multidimensional network behaviors; (2) psychodynamic model of persons and key person recognition technology; (3) psychological characterization of key persons based on individual behaviors; (4) influence mechanism of social networks on the psychology of a key person; (5) a verification platform for psychological characterization of persons based on network behaviors. The implementation of the project will hopefully break through the bottleneck of key technologies that support user behavior analysis of social networks and psychological characterization of persons, form innovative psychological characterization theories of data-driven network behavior, in the meantime provide a set of systematic solution schemes for psychological characterization and behavioral prediction of persons based on network behaviors.