文献类型：期刊文献

英文题名：Nanotechnology knowledge diffusion: measuring the impact of the research networking and a strategy for improvement

作者：Liu, Xuan[1,2];Jiang, Shan[3];Chen, Hsinchun[3];Larson, Catherine A.[3];Roco, Mihail C.[4]

机构：[1]E China Univ Sci & Technol, Sch Business, Dept Management Sci & Engn, Shanghai 200237, Peoples R China;[2]Univ Arizona, Dept Management Informat Syst, Eller Coll Management, Tucson, AZ 85721 USA;[3]Univ Arizona, Dept Management Informat Syst, Artificial Intelligence Lab, Eller Coll Management, Tucson, AZ 85721 USA;[4]Natl Sci Fdn, Arlington, VA 22230 USA

年份：2014

卷号：16

期号：9

外文期刊名：JOURNAL OF NANOPARTICLE RESEARCH

收录：;EI(收录号：20144100084377);WOS:【SSCI(收录号:WOS:000341501000001)，SCI-EXPANDED(收录号:WOS:000341501000001)】；

语种：英文

外文关键词：Knowledge diffusion; Social network; Centrality measures; Connectivity measure; Cox regression model; Boundary-spanning position; Nanoscale science and engineering; Research evaluation; Academic research ecosystem

摘要：Given the global increase in public funding for nanotechnology research and development, it is even more important to support projects with promising return on investment. A main return is the benefit to other researchers and to the entire field through knowledge diffusion, invention, and innovation. The social network of researchers is one of the channels through which this happens. This study considers the scientific publication network in the field of nanotechnology, and evaluates how knowledge diffusion through coauthorship and citations is affected in large institutions by the location and connectivity of individual researchers in the network. The relative position and connectivity of a researcher is measured by various social network metrics, including degree centrality, Bonacich Power centrality, structural holes, and betweenness centrality. Leveraging the Cox regression model, we analyzed the temporal relationships between knowledge diffusion and social network measures of researchers in five leading universities in the United States using papers published from 2000 to 2010. The results showed that the most significant effects on knowledge diffusion in the field of nanotechnology were from the structural holes of the network and the degree centrality of individual researchers. The data suggest that a researcher has potential to perform better in knowledge creation and diffusion on boundary-spanning positions between different communities and when he or she has a high level of connectivity in the knowledge network. These observations may lead to improved strategies in planning, conducting, and evaluating multidisciplinary nanotechnology research. The paper also identifies the researchers who made most significant contributions to nanotechnology knowledge diffusion in the networks of five leading U.S. universities.