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Modeling study of knowledge diffusion in scientific collaboration networks based on differential dynamics: A case study in graphene field
Yue, Zenghui1; Xu, Haiyun2; Yuan, Guoting3; Pang, Hongshen4,5
Corresponding AuthorYue, Zenghui(yzh66123@126.com)
2019-06-15
Source PublicationPHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
ISSN0378-4371
Volume524Pages:375-391
AbstractKnowledge diffusion based on scientific collaboration is similar to disease propagation through actual contact. Inspired by the disease-spreading model in complex networks, this study classifies the states of research entities during the process of knowledge diffusion in scientific collaboration into four categories. Research entities can transform from one state to another with a certain probability, which results in the evolution rules of knowledge diffusion in scientific collaboration networks. The knowledge diffusion model of differential dynamics in scientific collaboration of non-uniformity networks is formed, and the relationship between the degree distribution and evolution of knowledge diffusion is further discussed, to reveal the dynamic mechanics of knowledge diffusion in scientific collaboration networks. Finally, an empirical analysis is conducted on knowledge diffusion in an institutional scientific collaboration network by taking the graphene field as an example. The results show that the state evolution of research entities in the knowledge diffusion process of scientific collaboration networks is affected not only by the evolution states of adjacent research entities with whom they have certain collaboration relationships, but also by the structural attributes and degree distributions of scientific collaboration networks. The evolution of knowledge diffusion in scientific collaboration entities with different degrees also shows different trends. (C) 2019 Elsevier B.V. All rights reserved.
KeywordDifferential dynamics Scientific collaboration networks Knowledge diffusion Model
DOI10.1016/j.physa.2019.04.201
Indexed BySCI
WOS KeywordEMERGENCE
Language英语
Funding ProjectNational Natural Science Foundation of China[71704170] ; Shandong Provincial Natural Science Foundation, China[ZR2015GL015]
WOS Research AreaPhysics
WOS SubjectPhysics, Multidisciplinary
WOS IDWOS:000476966100031
Funding OrganizationNational Natural Science Foundation of China ; Shandong Provincial Natural Science Foundation, China
PublisherELSEVIER
Citation statistics
Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/26869
Collection中国科学院水利部成都山地灾害与环境研究所
Corresponding AuthorYue, Zenghui
Affiliation1.Jining Med Univ, Sch Med Informat Engn, Rizhao, Peoples R China
2.Chinese Acad Sci, Chengdu Documentat & Informat Ctr, Chengdu, Sichuan, Peoples R China
3.Jining Med Univ, Sch Foreign Languages, Rizhao, Peoples R China
4.Shenzhen Univ, Lib, Shenzhen, Peoples R China
5.Chinese Acad Sci, Guangzhou Inst Biomed & Hlth, Guangzhou, Guangdong, Peoples R China
Recommended Citation
GB/T 7714
Yue, Zenghui,Xu, Haiyun,Yuan, Guoting,et al. Modeling study of knowledge diffusion in scientific collaboration networks based on differential dynamics: A case study in graphene field[J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS,2019,524:375-391.
APA Yue, Zenghui,Xu, Haiyun,Yuan, Guoting,&Pang, Hongshen.(2019).Modeling study of knowledge diffusion in scientific collaboration networks based on differential dynamics: A case study in graphene field.PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS,524,375-391.
MLA Yue, Zenghui,et al."Modeling study of knowledge diffusion in scientific collaboration networks based on differential dynamics: A case study in graphene field".PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS 524(2019):375-391.
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