企业应对社会媒体中的危机事件引起充分重视，并将其纳入战略层面危机管理新范式中，以实时感知社会媒体中的流行意识形态，掌握其传播演化规律，并对其未来发展态势进行预测研判，最终帮助企业积极有效地应对各类商业危机事件。然而，社会媒体中商业意识形态具有强交互、高实时、多动态的特性，这导致面传统危机管理方法难以对其精确建模和分析。近些年文化基因理论逐渐兴起，为解决这一问题提供了一种新的解决思路和方法体系。在本项目中，将构建一套面向社会媒体的危机事件应急管理统一计算框架，以有效融合文化基因自化抽取和聚合，进化动力学建模，以及流行度预测等关键技术。该框架有望为大数据驱动的企业危机管理与策略研究提供理论和算法支撑，并在未来重大商业危机事件中发挥关键作用。

Corporations should pay enough attention to social-mediated crises, and strategically incorporate related responses into their crisis management paradigms. This will enable corporations to assess trendy mindsets in social media timely, interpret the underlying mechanism of their diffusion and evolution accurately, and make long-term predictions accordingly. Ultimately, corporations can response to crises efficiently and effectively. However, mindsets in social media are highly interactive, time-varying, and continuously evolving. These characteristics severely challenge current crisis response strategies in accurate modeling and analyzing. Remarkably, the surge of memetic theory in recent years provides new methodologies for this issue from memetic perspective. In this project, a unified computational framework will be developed with regard to social-mediated crises. Within this framework, key algorithms such as massive meme extraction and aggregation, evolutionary dynamics modeling, and popularity prediction will be incorporated. We hope this framework would provide theoretic and algorithmic supports for big data-driven crisis response strategies, and further deliver practical implications in real real-world business crises.