arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2009.09097physics.soc-ph
收藏

期刊网络中异常引文群的检测

Detecting anomalous citation groups in journal networks

Sadamori Kojaku, Giacomo Livan, Naoki Masuda

摘要:

学术出版市场竞争的加剧促使期刊编辑追求更高的影响因子。这意味着期刊的选择性越来越强,最终也意味着更高的出版标准。然而,对更高影响因子的固定导致一些期刊通过期刊“引用卡特尔”的协调努力人为地提高影响因子。近年来,“引文卡特尔”行为越来越普遍,有几起案例被报道。在这里,我们提出了一种名为CIDRE的算法来检测异常的期刊组,这些期刊在与考虑科学社区和期刊规模的空模型相比时,以过高的速率交换引用。CIDRE检测到超过一半的期刊在暂停年度或提前因异常引用行为而被暂停。此外,CIDRE发现了许多新的异常组,其中成员期刊的影响因子被其他成员期刊的引用大幅提升。我们详细描述了一些这样的例子,并讨论了我们的研究结果对当前学术氛围的影响。

英文摘要:

The ever-increasing competitiveness in the academic publishing market incentivizes journal editors to pursue higher impact factors. This translates into journals becoming more selective, and, ultimately, into higher publication standards. However, the fixation on higher impact factors leads some journals to artificially boost impact factors through the coordinated effort of a "citation cartel" of journals. "Citation cartel" behavior has become increasingly common in recent years, with several instances being reported. Here, we propose an algorithm -- named CIDRE -- to detect anomalous groups of journals that exchange citations at excessively high rates when compared against a null model that accounts for scientific communities and journal size. CIDRE detects more than half of the journals suspended from Journal Citation Reports due to anomalous citation behavior in the year of suspension or in advance. Furthermore, CIDRE detects many new anomalous groups, where the impact factors of the member journals are lifted substantially higher by the citations from other member journals. We describe a number of such examples in detail and discuss the implications of our findings with regard to the current academic climate.

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。

↑