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

Xuan Liu, Shan Jiang, Hsinchun Chen, Catherine A. Larson, Mihail C. Roco

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

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.

Original languageEnglish (US)
JournalJournal of Nanoparticle Research
Volume16
Issue number9
DOIs
StateAccepted/In press - Aug 31 2014

Fingerprint

Nanotechnology
nanotechnology
Networking
Centrality
Social Networks
Connectivity
Cox Regression Model
Patents and inventions
Betweenness
Citations
inventions
Strategy
Knowledge
Research and Development
research and development
Innovation
planning
Planning
regression analysis
Entire

Keywords

  • Academic research ecosystem
  • Boundary-spanning position
  • Centrality measures
  • Connectivity measure
  • Cox regression model
  • Knowledge diffusion
  • Nanoscale science and engineering
  • Research evaluation
  • Social network

ASJC Scopus subject areas

  • Bioengineering
  • Materials Science(all)
  • Chemistry(all)
  • Modeling and Simulation
  • Condensed Matter Physics
  • Atomic and Molecular Physics, and Optics

Cite this

Nanotechnology knowledge diffusion : measuring the impact of the research networking and a strategy for improvement. / Liu, Xuan; Jiang, Shan; Chen, Hsinchun; Larson, Catherine A.; Roco, Mihail C.

In: Journal of Nanoparticle Research, Vol. 16, No. 9, 31.08.2014.

Research output: Contribution to journalArticle

@article{9ca6e4f0d9884d53a9c347480c17e2be,
title = "Nanotechnology knowledge diffusion: measuring the impact of the research networking and a strategy for improvement",
abstract = "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.",
keywords = "Academic research ecosystem, Boundary-spanning position, Centrality measures, Connectivity measure, Cox regression model, Knowledge diffusion, Nanoscale science and engineering, Research evaluation, Social network",
author = "Xuan Liu and Shan Jiang and Hsinchun Chen and Larson, {Catherine A.} and Roco, {Mihail C.}",
year = "2014",
month = "8",
day = "31",
doi = "10.1007/s11051-014-2613-x",
language = "English (US)",
volume = "16",
journal = "Journal of Nanoparticle Research",
issn = "1388-0764",
publisher = "Springer Netherlands",
number = "9",

}

TY - JOUR

T1 - Nanotechnology knowledge diffusion

T2 - measuring the impact of the research networking and a strategy for improvement

AU - Liu, Xuan

AU - Jiang, Shan

AU - Chen, Hsinchun

AU - Larson, Catherine A.

AU - Roco, Mihail C.

PY - 2014/8/31

Y1 - 2014/8/31

N2 - 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.

AB - 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.

KW - Academic research ecosystem

KW - Boundary-spanning position

KW - Centrality measures

KW - Connectivity measure

KW - Cox regression model

KW - Knowledge diffusion

KW - Nanoscale science and engineering

KW - Research evaluation

KW - Social network

UR - http://www.scopus.com/inward/record.url?scp=84906640204&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84906640204&partnerID=8YFLogxK

U2 - 10.1007/s11051-014-2613-x

DO - 10.1007/s11051-014-2613-x

M3 - Article

AN - SCOPUS:84906640204

VL - 16

JO - Journal of Nanoparticle Research

JF - Journal of Nanoparticle Research

SN - 1388-0764

IS - 9

ER -