Exploring the role and nature of interactions between Institutes in a Local Affiliation Network

In this work, we have studied the collaboration and citation network between Indian Institutes from publications in American Physical Society (APS) journals between 1970–2013. We investigate the role of geographic proximity on the network structure and find that it is the characteristics of the Institution, rather than the geographic distance, that play a dominant role in collaboration networks. We find that Institutions with better federal funding dominate the network topology and play a crucial role in overall research output. We find that the citation flow across different category of institutions is strongly linked to the collaborations between them. We have estimated the knowledge flow in and out of Institutions and identified the top knowledge source and sinks.

[1]  Yuxiao Dong,et al.  A Century of Science: Globalization of Scientific Collaborations, Citations, and Innovations , 2017, KDD.

[2]  Kamalika Basu Hajra,et al.  Aging in citation networks , 2004, cond-mat/0409017.

[3]  S. Graham.  The end of geography or the explosion of place? Conceptualizing space, place and information technology , 1998 .

[4]  M. Newman,et al.  The structure of scientific collaboration networks. , 2000, Proceedings of the National Academy of Sciences of the United States of America.

[5]  Mark Newman,et al.  Networks: An Introduction , 2010 .

[6]  Hai-long Ma,et al.  The Effect of Geographical Proximity on Scientific Cooperation among Chinese Cities from 1990 to 2010 , 2014, PloS one.

[7]  Mathieu Bastian,et al.  Gephi: An Open Source Software for Exploring and Manipulating Networks , 2009, ICWSM.

[8]  Subbiah Arunachalam,et al.  SCIENCE IN INDIA - A PROFILE BASED ON INDIA'S PUBLICATIONS AS COVERED BY SCIENCE CITATION INDEX 1989-1992 , 1998 .

[9]  E. Garfield.  Mapping science in the Third World , 1983 .

[10]  Noémi Gaskó,et al.  A new network model for the study of scientific collaborations: Romanian computer science and mathematics co-authorship networks , 2016, Scientometrics.

[11]  S. M. Dhawan,et al.  Status of India in science and technology as reflected in its publication output in the Scopus international database, 1996–2006 , 2008, Scientometrics.

[12]  Albert-László Barabási,et al.  Quantifying Long-Term Scientific Impact , 2013, Science.

[13]  M. Newman.  Clustering and preferential attachment in growing networks. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.

[14]  Robert L. Goldstone,et al.  The simultaneous evolution of author and paper networks , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[15]  Kaihua Chen,et al.  Do research institutes benefit from their network positions in research collaboration networks with industries or/and universities? , 2017 .

[16]  Hildrun Kretschmer,et al.  The structure of scientific collaboration networks in Scientometrics , 2008, Scientometrics.

[17]  J. Sylvan Katz,et al.  Geographical proximity and scientific collaboration , 1994, Scientometrics.

[18]  A. Barabasi,et al.  Evolution of the social network of scientific collaborations , 2001, cond-mat/0104162.

[19]  D. Helbing,et al.  Global Multi-Level Analysis of the ‘Scientific Food Web' , 2013, Scientific Reports.

[20]  A. Salter,et al.  Exploring the Effect of Geographical Proximity and University Quality on University–Industry Collaboration in the United Kingdom , 2011 .

[21]  David C. Roberts,et al.  Mapping the Evolution of Scientific Fields , 2009, PloS one.

[22]  Santo Fortunato,et al.  World citation and collaboration networks: uncovering the role of geography in science , 2012, Scientific Reports.

[23]  Shivakumar Jolad,et al.  Structure and evolution of Indian physics co-authorship networks , 2018, Scientometrics.

[24]  L. Spångberg.  The world is flat. , 2005, Oral surgery, oral medicine, oral pathology, oral radiology, and endodontics.