This paper presents the analysis of journals publishing articles on social network analysis (SNA). The dataset consists of articles from the Web of Science database obtained by searching for “social network*”, works intensively cited, written by the most prominent authors, and published in the main SNA journals up to July 2018. There were 8943 journals in 70,792 articles with complete descriptions. Using a two-mode network linking publications with journals and a one-mode network of citations between articles, we constructed and analysed the networks of citations and bibliographic coupling among journals. Based on the analysis of these networks, we identify the most prominent journals publishing SNA and reveal their relationships to each other. Special attention is given to the position of journal Social Networks among other journals in the field. We trace the development of some relationships through time and look at their distributions for selected journals. The results show that the field is growing, which can be seen by the annual rise of the number of journals publishing papers in SNA, and the average number of papers on SNA per journal (almost 3 in recent years). The journals which are currently present in the field belong to social and natural sciences. The social sciences group is represented mainly by journals from sociology and management. Other journals mainly come from the fields of physics, computer science, or are general scientific journals. While journals from social and computer sciences are connected with journals from the same fields, physics journals Physica A and Physical Review E have developed their own niche. SNA’s main outlet Social Networks takes a very coherent and important position. It had explicit primacy up to the 2000s; in recent years its relative input has declined significantly due to the large number of papers published in other journals in the field.

本文介绍了有关社交网络分析（SNA）的期刊发表文章的分析。该数据集由通过搜索“社交网络*”而获得的来自Web of Science数据库的文章组成，被最引人注目的工作，被最著名的作者撰写，并在2018年7月之前在SNA的主要期刊上发表。在70,792个期刊中有8943种期刊带有完整说明的文章。使用链接出版物与期刊的双模式网络和文章之间的单模式引用网络，我们构建并分析了期刊之间的引用和书目耦合网络。基于对这些网络的分析，我们确定了出版SNA的最著名期刊，并揭示了它们之间的关系。特别注意期刊《社交网络》的位置以及该领域的其他期刊。我们通过时间追踪某些关系的发展，并查看选定期刊的关系分布。结果表明，该领域正在不断发展，这可以从SNA上发表期刊的期刊数量的逐年增加以及每个期刊上SNA的平均论文数量（近3年来）中可以看出。目前在该领域存在的期刊属于社会科学和自然科学。社会科学团体主要以社会学和管理学期刊为代表。其他期刊主要来自物理学，计算机科学领域，或者是普通科学期刊。社会科学和计算机科学的期刊与相同领域的期刊联系在一起，而物理学期刊Physica A和Physical Review E已经发展了自己的利基市场。SNA的主要出口社交网络处于非常协调和重要的位置。直到2000年代，它一直具有明显的首要地位。近年来，由于在该领域其他期刊上发表了大量论文，其相对投入已大大减少。