在当今大科学时代背景下，科学合作逐渐成为科学研究的主流方式，科学合作行为对于知识创新、凝聚科研力量、实现科研目标，提高科研水平和质量等方面具有重要意义。科学合作行为的日益频繁，反映在论文中则表现为科学合著现象愈发普遍。如何对论文合著现象进行分析，从而加强科学研究工作者之间的交流与合作，成为目前研究的热点问题。 本文首先在国内外社会网络和科学合作网络理论基础上，运用文献计量学和社会网络分析法，以我国安全领域《中国安全科学学报》、《安全与环境学报》和《矿业安全与环保》三种期刊在2004-2012年期间所载论文信息为研究对象，分析论文合作率、合作度的变化趋势；其次，构建我国安全领域科学合作网络，并利用社会网络分析软件Ucinet对安全领域的科学合作网络结构特性进行分析，探讨结构特性与科学合作网络之间的关系；再次，利用可视化软件Netdraw绘制安全领域核心作者网络图谱，并得出核心作者的论文产出量及主要研究方向；最后，对安全领域的关键词进行词频分析，得出关键词高频词汇表和共现图谱，合理推断安全领域未来发展的热点问题和前沿方向。 通过本文，可以清晰地显示出安全领域科学合作的整体状况，明确科学合作网络结构特性与科学合作网络的关系以及核心作者对于整个科学合作网络起着至关重要的作用，并在此基础上提出对安全领域未来发展的合理建议，对有效推动安全领域的学科建设和把握未来研究方向有着积极的意义。

In recent big science times, scientific cooperation has gradually become the mainstream of scientific research. Scientific cooperation behavior plays a significant role in knowledge innovation, enhancing scientific research strength, realizing scientific research goal as well as improving the quality and level of scientific research. Scientific cooperation behavior is becoming more frequent, which reflected that the phenomenon of scientific work cooperation is increasingly common. It has become a hot topic about how to analyze this phenomenon and to strengthen the exchanges and cooperation among science researchers. Firstly, this study is based on the theory of social networks and scientific cooperation network, using the bibliometrics and social network analysis methodology to analyze the cooperative rates and degrees of papers. Its objects of study is that paper information of three core publications (‘China Safety Science Journal’, ‘Journal of Safety and Environment’, ‘Mining Safety & Environmental Protection Journal’) from 2004 to 2012 in security issue of China. Furthermore, this paper used Social network analysis software –Ucinet– to analyze the structure characteristics of social cooperation network in the field of security, and built the social cooperation network of China as well as argued the relation between structure characteristics and the scientific cooperation network. Thirdly, it used visualization software –Netdraw– to draw the network map of core authors in security area so that it can get the paper output of core authors and their main research direction. At last, it analyzed the word frequency of key words in the field of security to get the keyword high-frequency vocabulary and co-occurrence graph, then it reasonably deduced the hot topics and development in the future of security area. All in all, it clearly showed the overall situation of scientific cooperation of the security area, and confirmed the relation between scientific cooperation network and its network characteristics as well as the important effect of core authors on the scientific cooperation network. In addition, this study also put forward reasonable suggestions about future development of security area, which plays a significant role in promoting discipline construction and grasping the future research direction of security area.