研究群体文献计量统计属性的绩效相关差异：累积优势与层级网络
Performance-related differences of bibliometric statistical properties of research groups: cumulative advantages and hierarchically layered networks
摘要：
本文在分析两大研究群体文献计量特征的统计属性时，区分了表现最好的群体和表现较低的群体。我们发现高绩效和低绩效群体之间存在有趣的差异，而且两组研究群体之间也存在差异。特别是后者的差异是有趣的，因为它们可能表明研究管理策略的影响。性能较低的组比性能最高的组具有更大的规模相关累积优势。我们还发现，无论表现如何，较大的群体有较少的未被引用的出版物。我们引入了一个简单的模型，在该模型中，微观层面的过程导致在宏观层面上观察到的现象。平均而言，表现最好的群体在整个期刊影响范围内更成功。我们将我们的发现融入到分层网络的概念中。在这个概念中，研究小组的网络构成了一个层次，比通过引用连接的出版物的基本网络高出一个层次。一个群体收到的引文的累积规模优势看起来像是基本网络中的优先连接，其中高度连接的节点（出版物）比连接较少的节点更快地增加其连接性。但在我们的研究中，是规模造成了优势。一般来说，一个群体（研究群体网络中的节点）越大，这个群体以非线性、累积的方式获得的传入链接就越多。此外，表现最好的群体在建立联系方面的效率大约高出一个数量级（即，接受引用）比低性能组。
英文摘要：
In this paper we distinguish between top-performance and lower performance groups in the analysis of statistical properties of bibliometric characteristics of two large sets of research groups. We find intriguing differences between top-performance and lower performance groups, but also between the two sets of research groups. Particularly these latter differences are interesting, as they may indicate the influence of research management strategies. Lower performance groups have a larger scale-dependent cumulative advantage than top-performance groups. We also find that regardless of performance, larger groups have less not-cited publications. We introduce a simple model in which processes at the micro level lead to the observed phenomena at the macro level. Top-performance groups are, on average, more successful in the entire range of journal impact. We fit our findings into a concept of hierarchically layered networks. In this concept, the network of research groups constitutes a layer of one hierarchical step higher than the basic network of publications connected by citations. The cumulative size-advantage of citations received by a group looks like preferential attachment in the basic network in which highly connected nodes (publications) increase their connectivity faster than less connected nodes. But in our study it is size that causes an advantage. In general, the larger a group (node in the research group network), the more incoming links this group acquires in a non-linear, cumulative way. Moreover, top-performance groups are about an order of magnitude more efficient in creating linkages (i.e., receiving citations) than the lower performance groups.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
