中文摘要：

在异质媒体应用迅速兴起,线上内容和线下服务对网络用户影响日益深刻的背景下,介绍了异质媒体分析的相关概念和方法,对异质媒体的多源自然属性和社会属性进行有效感知,揭示海量异质媒体的语义多样性、复杂关联和内在信息传播机制。文章主要内容涵盖以下几方面：首先,讨论异质媒体数据的跨平台、多模态和来源广泛等特性及其带来的挑战和机遇,介绍异质媒体分析技术的特点和传统单一媒体分析的不同之处,以及异质媒体研究可能带来的科学和社会影响力;其次,分别从异质媒体语义分析与理解、异质媒体关联建模和异质媒体社群分析等三个方面介绍异质媒体分析技术的国内外研究现状;最后,介绍作者及所在研究团队在异质语义分析理解,异质媒体中热点事件和话题分析以及异质媒体用户行为分析等方面的最新研究成果。

英文摘要：

With the proliferation of the diversified applications on heterogeneous media, online contents and offline services have influenced the daily life of web users in a more comprehensive way. In this paper, the concepts and methodologies for heterogeneous media analysis, which aim to obtain physical and social attributes from huge amount of data from heterogeneous sources were introduced, and the intrinsic mechanism for modeling the semantic divergence, complicated correlations and the information propagation was revealed. Firstly, we discussed the heterogeneous media with properties of cross-platform, cross-modality and diversity, and put forward the challenges and opportunities in studying heterogeneous media analytics, and discussed the impact of studying the heterogeneous media. Secondly, we provided literature review from three perspectives, i.e., semantic analysis and understanding, heterogeneous correlation modeling and community modeling. Lastly, we introduced our research works on the semantic modeling, correlation modeling and social behavior modeling on heterogeneous media resources.