Data underlying the publication: Co-authorship networks in Maritime Economics

Network structure in academia demonstrates the way knowledge is articulated and disseminated. The academic area of economics includes a populous community of researchers who publish the results of their work in a plethora of journals. Maritime Economics is part of this community; however, it possesses distinct characteristics that stem from the nature of the shipping business. We shed light on the structure of this community, exploring co-authoring partnership between economics scholars that publish their work in Shipping, Maritime and Transportation journals. Our data set consists of 1863 documents published between 1998 and 2017 in 12 primarily maritime economics journals. The selection of articles was based on a specified number of identified keywords. We employ social network analysis to identify the structure of collaboration networks and calculate centrality and clustering metrics that demonstrate the central nodes as well as the foremost co-authorship patterns between authors, affiliations, affiliation countries. We have discovered that research in maritime economics has been expanding and the collaboration between authors and affiliations is denser in the more recent years. Our findings demonstrate our attempt to unravel the social structure of the maritime academic community.

学术界的网络结构，直观展现了知识的阐释与传播路径。经济学学术领域拥有规模庞大的研究者群体，其研究成果发表于海量学术期刊之中。海运经济学（Maritime Economics）作为该研究者群体的分支领域，却因航运行业的固有属性，具备鲜明的专属特征。本研究聚焦该分支研究者社群的结构特征，针对在航运、海运与交通类期刊发表成果的经济学学者间的合著合作关系展开探究。本数据集包含1998年至2017年间，在12家主流海运经济学学术期刊上发表的1863篇学术文献。本文的文献筛选基于预先设定的若干标识性关键词。本研究采用社会网络分析（Social Network Analysis）方法，对合作网络的结构进行识别，并计算中心性与聚类指标，以此展现网络中的核心节点，以及学者、所属机构、机构的所属国家之间的核心合著模式。研究发现，海运经济学领域的研究规模持续扩张，且近年学者与所属机构间的合作关系愈发紧密。本研究的发现，完整揭示了海运经济学界的社会网络结构。