当前社交话题传播机制的研究主要是基于用户关系拓扑空间，围绕单消息微观传播机制和多消息宏观流行度预测展开探讨。但是现实网络世界中，话题的产生往往包含大量相互关联网络信息、复杂的动力学成因。在传播方式上也呈现传播空间多维度、网络水军或组织结构多层次、用户社交关系多领域等多态特性。同时，在推动话题传播的多关键元素之间也存在着多种关联关系。本课题以网络话题信息传播机制为研究对象，重点针对多消息互影响关系、传播空间的多态性和多关键元素关联性，深入探讨复杂网络空间信息传播机制。具体研究内容包括：面向多消息迭代驱动热点话题关联性关键目标溯源；复杂网络空间下多消息多领域多角色传播动力学机制分析；多维度多层次网络热点话题群体行为态势预测。通过这些研究，探索一般形态下多维多空间网络话题传播过程中多消息互作用量化机制和推动话题多关键目标关联性度量方法。课题的开展将更深入更准确地揭示社会网络信息传播的内在机制。

Current research on social hotspots propagation mechanism is mainly based on user topology space, and it focuses on micro propagation mechanism of single message and macro popularity prediction of multi-message. But in the real world, the generation of topics often includes a large number of interrelated network information and complex dynamic causes. And the topics also have some polymorphic characteristics of multi-dimension, multi-level and multi-domain in propagation space. At the same time, there are inherent relationships between the multiple key elements that promote topic propagation. This project takes the network topic information propagation mechanism as the research object, focusing on the multi-message mutual influence relationship, the polymorphism of the propagation space and the correlation of multi-key elements, and deeply discusses the information propagation mechanism of the complex network space. The specific research interests include: key target traceability under multi-message iteration driven; multi-message, multi-domain and multi-role propagation dynamics mechanism in complex network space; multi-dimensional and multi-level group behavior trend prediction within social network hot topic. Through the project, we explore the quantization mechanism of multi-message interaction and the measurement method of multi-key target relevance in the multi-dimensional and multi-space social hotspots in the general form. The launch of this project will reveal the internal mechanism of information dissemination in a deeper and more accurate way.