分类:Scientometrics

Scientometrics studies development of science, activities of scientists, and diffusion and communication of science, and aims to help development of science, to become and educate better scientists and the general public, to form a better basis of administration of science development. For that, we need to have a good understanding of the objects of study and have good mathematical models/patterns of the behaviors of the objects of study.

Then what are the typical data, typical questions asked in scientometrical studies, typical ways of thinking, typical methods of analysis in scientomtrics, and how this discipline is related to other disciplines and serves the whole society? For more discussion on these issue, please read [什么是科学计量学] on Jinshan's Blog site [吴金闪的工作和思考]. For now it is in Chinese and hopefully soon it will be rewritten in English.

Besides as a discipline of its own, scientometrics can also be regarded as an example of Data Science: scientometrics provides good data source, questions of study, driven force of methodological development and test bed of methods for data science. All these studies in the future might be applicable to other systems of data science.

We have an ambitious goal about research work in scientometrics. We are looking forward to making a difference to the field from the following several aspects. One should be able to see from the following that we are trying to make this field more like natural science, more coherent especially mathematically, and closer to real-world problems.

First, use multi-layer network as a general framework to represent data and typical questions, and also the basis to develop methods of analysis which naturally can incorporate typical ways of thinking and typical methods of analysis in network science. More specifically, for scientific papers, we can use an author-paper-concept network and for patents, we can use an inventor-patent-technology network, or the combined publication-patent network for both. Furthermore, when possible, we can add one more layer on products (development, producing and consumption of products, which is called in Economics as [[:category:General Input-Output Analysis|Input-Output Analysis) into the network so that it becomes a publication-patent-economics network.

第二、在多层网络的分析算法中，考虑间接影响，例如[PageRank]、广义投入产出分析。

第三、依靠主题层的概念之间逻辑关系来更好地在科学计量学中加入内容分析。例如，把每一篇文章定位在这样一个概念地图上，就可以更好地衡量每篇文章的贡献（这一点“给每篇文章配一个概念地图”应该实现以下，然后至少在科学计量学领域内主要期刊推广），当然也能够做更好的论文分类，甚至度量创新性。

第四、依靠这个多层网络框架来做更好的基础数据建设，例如作者识别、引用骨架挖掘。

这些研究取得一定成果之后，将来有一天，科学计量学的教科书就会直接从这个学科的基本研究对象、基本数据、基本研究问题、基本分析方法和思维方式来开始，成为网络科学的思想和技术的典型应用和发展的案例。