科技情报研究2025,Vol.7Issue(2):35-47,13.DOI:10.19809/j.cnki.kjqbyj.2025.02.004
基于强关系和超级关系的杰出科学家合作网络分析:以诺贝尔奖获得者为例
Analysis of Collaborative Networks of Distinguished Scientists Based on Strong and Super Relationships:A Case Study of Nobel Prize Winners
摘要
Abstract
[Purpose/significance]Scientific cooperation has become an important feature to promote scientific and tech-nological breakthroughs and original innovation.Exploring the laws and patterns of scientific cooperation among dis-tinguished scientists can help provide decision-making references for the country to cultivate leading talents and es-tablish high-performance teams.[Method/process]In this paper,we take 145 Nobel Prize winners in natural sciences from 1990 to 2010 as research objects,identify the strong and super relationships in their scientific cooperation and construct their cooperation networks.It further applies social network analysis and network recursive decomposition to analyse the quantitative characteristics of strong and super-relationships of Nobel Laureates and their impact on sci-entific research performance,and to investigate whether there are structural changes in the strong and super-relation-ships networks before and after the award.[Result/conclusion]It is found that 99%of Nobel Laureates have strong rela-tionship partners and 82%have super relationship partners,and the stability and durability of super relationships are higher than those of strong relationships.Strong relationship cooperation is usually carried out in the form of a team of 3-4 people;super relationship cooperation has a higher information transfer efficiency between members,and the co-operation relationship is closer,mainly in the form of two-by-two cooperation.An increase in the number of strong and super-relationships in a collaborative network can promote the productivity of outstanding scientists,but has no significant effect on the quantity of their first-authored publications;excessively high network density can inhibit sci-entific productivity.In addition,it was found that the number of entries and exits of members in strong-relationship co-operative networks produced significant structural changes after the award,but this phenomenon was not found in super-relationship co-operative networks.关键词
杰出科学家/诺贝尔奖获得者/科学合作网络/强关系/超级关系Key words
distinguished scientists/Nobel Laureates/scientific cooperation networks/strong ties/super ties分类
社会科学引用本文复制引用
刘俊婉,张睿,隋宏哲..基于强关系和超级关系的杰出科学家合作网络分析:以诺贝尔奖获得者为例[J].科技情报研究,2025,7(2):35-47,13.基金项目
国家自然科学基金面上项目"基于多样性、关系链接和知识依赖的跨学科科研团队合作网络结构与演化研究"(编号:72174016) (编号:72174016)
2023年国家级大学生创新创业训练计划项目"杰出科学家合作网络强关系与弱关系研究——以诺贝尔获奖者为例"(编号:GJDC-2023-01-69). (编号:GJDC-2023-01-69)