Finding linkage between sustainability science and technologies based on citation network analysis

Sustainability Science has been widely accepted as an important research field all over the world. However, Sustainability Science is widespread to many research field such as Environment Science and Engineering, Architecture, Material Sciences, Civil Engineering, etc., therefore, it is important to discover hidden connections between sustainability science and other technologies. At the same time, with increasingly strong determination towards sustainable society, the tools for supporting discovering the linkage between technologies are necessary. This paper investigates the relationships between Sustainability Science and Complex Networks based on the citation network analysis. First, citation networks are generated based on academic paper datasets, and conducted the clustering for understanding the research fields to the Sustainability Science and other technologies. Next, we measure the textual similarities between clusters in Sustainability Science and Complex Networks. After that, we find the middle layer research area for connecting Complex Networks and Sustainability Science using analysis of the shared terms. These results could offer overviews of how Complex Networks contributes to the sustainability science, and assist in forming policies to promote key technologies towards the future of sustainable society.

[1]  S. Lele.  Sustainable development: A critical review , 1991 .

[2]  W. Clark,et al.  Sustainability science: The emerging research program , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[3]  John Handmer,et al.  Contradictions in Sustainability , 1993, Environmental Conservation.

[4]  Peter Haddawy,et al.  A bibliometric study of the world’s research activity in sustainable development and its sub-areas using scientific literature , 2014, Scientometrics.

[5]  Yuya Kajikawa,et al.  Creating an academic landscape of sustainability science: an analysis of the citation network , 2007 .

[6]  Naoki Shibata,et al.  Comparative study on methods of detecting research fronts using different types of citation , 2009, J. Assoc. Inf. Sci. Technol..

[7]  K. Fujita,et al.  Finding linkage between technology and social issues: A literature based discovery approach , 2012, 2012 Proceedings of PICMET '12: Technology Management for Emerging Technologies.

[8]  Hideki Mima,et al.  Automatic recognition of multi-word terms:. the C-value/NC-value method , 2000, International Journal on Digital Libraries.

[9]  Paul Erdös,et al.  On random graphs, I , 1959 .

[10]  Kevin W. Boyack,et al.  Toward a consensus map of science , 2009, J. Assoc. Inf. Sci. Technol..

[11]  Kevin W. Boyack,et al.  Mapping the backbone of science , 2004, Scientometrics.

[12]  Y. Kajikawa.  Research core and framework of sustainability science , 2008 .

[13]  B. C. Griffith,et al.  The Structure of Scientific Literatures I: Identifying and Graphing Specialties , 1974 .

[14]  Sharon L. Milgram,et al.  The Small World Problem , 1967 .

[15]  Ronald N. Kostoff,et al.  Database tomography for information retrieval , 1997, J. Inf. Sci..

[16]  R. Goodland.  The Concept of Environmental Sustainability , 1995 .

[17]  R. Kasperson,et al.  Sustainability Science , 2019, Critical Skills for Environmental Professionals.

[18]  Kevin W. Boyack,et al.  Identifying a better measure of relatedness for mapping science , 2006 .

[19]  M E J Newman,et al.  Fast algorithm for detecting community structure in networks. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[20]  Duncan J. Watts,et al.  Collective dynamics of ‘small-world’ networks , 1998, Nature.

[21]  Albert,et al.  Emergence of scaling in random networks , 1999, Science.

[22]  J. Schnoor,et al.  Sustainability science and engineering: the emergence of a new metadiscipline. , 2003, Environmental science & technology.

[23]  James H. Brown,et al.  The Report of the Ecological Society of America Committee on the Scientific Basis for Ecosystem Management , 1996 .