Quantifying knowledge from the perspective of information structurization
文献类型:期刊论文
作者 | Wang, Xinbing; Kang, Huquan; Fu, Luoyi; Yao, Ling3; Ding, Jiaxin; Wang, Jianghao3; Gan, Xiaoying; Zhou, Chenghu3; Hopcroft, John E. E. |
刊名 | PLOS ONE
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出版日期 | 2023-01-04 |
卷号 | 18期号:1页码:e0279314 |
DOI | 10.1371/journal.pone.0279314 |
文献子类 | Article |
英文摘要 | Scientific literature, as the major medium that carries knowledge between scientists, exhibits explosive growth in the last century. Despite the frequent use of many tangible measures, to quantify the influence of literature from different perspectives, it remains unclear how knowledge is embodied and measured among tremendous scientific productivity, as knowledge underlying scientific literature is abstract and difficult to concretize. In this regard, there has laid a vacancy in the theoretical embodiment of knowledge for their evaluation and excavation. Here, for the first time, we quantify the knowledge from the perspective of information structurization and define a new measure of knowledge quantification index (KQI) that leverages the extent of disorder difference caused by hierarchical structure in the citation network to represent knowledge production in the literature. Built upon 214 million articles, published from 1800 to 2021, KQI is demonstrated for mining influential classics and laureates that are omitted by traditional metrics, thanks to in-depth utilization of structure. Due to the additivity of entropy and the interconnectivity of the network, KQI assembles numerous scientific impact metrics into one and gains interpretability and resistance to manipulation. In addition, KQI explores a new perspective regarding knowledge measurement through entropy and structure, utilizing structure rather than semantics to avoid ambiguity and attain applicability. |
WOS关键词 | NETWORKS ; PAGERANK |
WOS研究方向 | Science & Technology - Other Topics |
WOS记录号 | WOS:000945477700001 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/200780] ![]() |
专题 | 资源与环境信息系统国家重点实验室_外文论文 |
作者单位 | 1.Hopcroft, John E. E.] Cornell Univ, Ithaca, NY USA 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China 3.Shanghai Jiao Tong Univ, Shanghai, Peoples R China |
推荐引用方式 GB/T 7714 | Wang, Xinbing,Kang, Huquan,Fu, Luoyi,et al. Quantifying knowledge from the perspective of information structurization[J]. PLOS ONE,2023,18(1):e0279314. |
APA | Wang, Xinbing.,Kang, Huquan.,Fu, Luoyi.,Yao, Ling.,Ding, Jiaxin.,...&Hopcroft, John E. E..(2023).Quantifying knowledge from the perspective of information structurization.PLOS ONE,18(1),e0279314. |
MLA | Wang, Xinbing,et al."Quantifying knowledge from the perspective of information structurization".PLOS ONE 18.1(2023):e0279314. |
入库方式: OAI收割
来源:地理科学与资源研究所
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