Small Henry
Thomson Scientific, 3501 Market, Philadelphia, PA, 19104, USA.
Scientometrics. 2006;68(3):595-610. doi: 10.1007/s11192-006-0132-y. Epub 2013 Jun 20.
We explore the possibility of using co-citation clusters over three time periods to track the emergence and growth of research areas, and predict their near term change. Data sets are from three overlapping six-year periods: 1996-2001, 1997-2002 and 1998-2003. The methodologies of co-citation clustering, mapping, and string formation are reviewed, and a measure of cluster currency is defined as the average age of highly cited papers relative to the year span of the data set. An association is found between the currency variable in a prior period and the percentage change in cluster size and citation frequency in the following period. The conflating factor of "single-issue clusters" is discussed and dealt with using a new metric called in-group citation.
我们探讨了在三个时间段使用共被引聚类来追踪研究领域的出现与发展，并预测其近期变化的可能性。数据集来自三个重叠的六年期：1996 - 2001年、1997 - 2002年和1998 - 2003年。回顾了共被引聚类、映射和字符串形成的方法，并将聚类活跃度的一种度量定义为高被引论文相对于数据集年份跨度的平均年龄。发现前一时期的活跃度变量与下一时期聚类规模和被引频次的百分比变化之间存在关联。讨论了“单一问题聚类”的混合因素，并使用一种称为组内引用的新指标进行处理。
