本课题针对大数据背景下的多信息平台和社交网络交互、融合形成的相互依存网络中的谣言传播和应对防控机制进行研究。主要内容包括：利用复杂网络理论研究相互依存的网络结构对谣言传播的影响；利用大数据技术分析谣言传播的特征，探索谣言的生成机制、演化机理，分析用户对待网络谣言的态度，归纳总结谣言在网络中的具体传播规则，建立改进的谣言传播模型；最后联合监控部署方案、大数据技术和溯源技术提出系统的谣言防控策略。

This research focuses on rumor spreading and coping mechanism in interdependent network which is formed by interaction of social network and other information platforms under the background of big data..The main contents include: （1）Evolution analysis on rumor spreading in interdependence network through complex network theory;（2）modeling the rumor spreading by Analysis the characteristics of rumors through big data technology;（3）proposing systemic rumor control strategy by cooperation of monitoring deployment, big data analysis and Traceback technology.