武老师,您好。在wiley全文数据库中,我检索了Annual Review of Information Science and Technology的相关内容,却发现内容就更新到2012年1月。2012-2014的年刊都找不到。是否该年刊已经停刊或者更名了?不知您是否了解有关信息?
我的回复(2014-11-5 21:56):是停刊了,以后通过JASIST的一个栏目来反映情报学进展。
The Annual Review of Information Science & Technology (ARIST) was published annually on behalf of the Association for Information Science & Technology (ASIS&T) from 1966-2011. The review is a landmark publication within the information science community, surveying the landscape of information science and technology and providing an analytical, authoritative, and accessible overview of significant trends and developments. Print copies of many ARIST volumes remain available for purchase from Information Today, Inc.; contact custserv@infotoday.com for information on availability and to order. ASIS&T's commitment to reviewing current developments in information science and technology is now handled through Advances in Information Science, published in the Association's Journal (JASIST).
在文献““Betweenness Centrality” as an Indicator of the“Interdisciplinarity” of Scientific Journals”(http://www.leydesdorff.net/betweenness/index.htm),Loet说了一段这样的话:
Normalization of the matrix for the size of patterns of citation can suppress this effect (Bonacich, personal communication, 22 May 2006). Fortunately, there is increasing consensus that normalization in terms of the cosine and using the vector-space model provides the best option in the case of sparse citation matrices (Ahlgren et al., 2003; Chen, 2006; Salton & McGill, 1983).
我对这段话及其上下文的理解是,采用余弦范化矩阵,可以降低原始数据波动的影响。在原始矩阵上,绝对值上的差异可能太过明显,筛选时会过滤掉太多的信息。而采用相关性矩阵,能将差异相对缩小,以避免泼水连孩子都泼出去?Loet后面指出很多学者都在用这种方法(似乎感觉这样引用证明不太妥当,别人用我就用???还是我对这段话理解有误?)目前我能找到的其它Loet的论文,关于余弦范化矩阵就是介绍了该方法,似乎未做太多讨论。
此外,Loet还和Egghe做过关于余弦相关性与皮尔逊相关性的讨论“The relation between Pearson’s correlation coefficient r and Salton’s cosine measure”(http://www.leydesdorff.net/cosinevspearson/index.htm)。末端结论的意思似乎是,当相关性阈值高于一定水平,两者的结果相关性很强?