Archambault, É., Beauchesne, O. H., Côté, G., & Roberge, G. 2011, July. Scale-adjusted metrics of scientific collaboration. In Proceedings of the 13th Conference of the International Society for Scientometrics and Informetrics (ISSI 2011), Durban (pp. 78-88).
Barabasi, A. L., & Albert, A. 1999. Emergence of Scaling in Random Networks. Science, 286(5439), 509-512.
Baranger, M. 2001. Chaos, Complexity, and Entropy A physics talk for non-physicists Cambridge. Center for theoretical physics, laboratory for nuclear.
Bar-Yam, Y. 2016. Concepts: Power Law. New England Complex Systems Institute. Retrieved, 21.
Clauset, A., Shalizi, C.R. and Newman, M.E., 2009. Power-law distributions in empirical data. SIAM review, 51(4), pp.661-703.
Cooke, P. 2012. Relatedness, transversality and public policy in innovative regions. European Planning Studies, 20(11), 1889-1907.
Dosi G .1988. The Nature of the Innovative Process. In: S L., editor. Technical Change and Economic Theory. London: Pinter Publishers. pp. 222.
Edquist, C., .2004. Systems of innovation: perspectives and challenges, In: J. Fagerberg, D.C. Mowery and R.R. Nelson (Eds.), The Oxford Handbook of Innovation, Oxford University Press.
Egghe, L. and Leydesdorff, L., 2009. The relation between Pearson's correlation coefficient r and Salton's cosine measure. Journal of the American Society for information Science and Technology, 60(5), pp.1027-1036.
Fischer, M. M., & Fröhlich, J. (Eds.). 2013. Knowledge, complexity and innovation systems. Springer Science & Business Media.
Frame, J. D., & Carpenter, M. P. 1979. International research collaboration. Social Studies of Science, 2, 481-497.
Gillespie, C. S. 2014. The poweRlaw package: Examples.
Kashani, E. S., & Roshani, S. 2019. Evolution of innovation system literature: Intellectual bases and emerging trends. Technological Forecasting and Social Change, 146, 68-80.
Katz, J. S. 1999. The self-similar science system. Research Policy, 28(5), 501–517.
Katz, J.S., 2000. Scale-independent indicators and research evaluation. Science and Public Policy, 27(1), pp.23-36.
Katz, J. S. 2005. Scale-independent bibliometric indicators. Measurement: Interdisciplinary Research and Perspectives, 3(1), 24-28.
Katz, J.S., 2006. Indicators for complex innovation systems. Research policy, 35(7), pp.893-909.
Katz, J. S. 2012. Scale-independent measures: Theory and practice. In 17th International Conference on Science and Technology Indicators. Sept (pp. 5-8).
Katz, J. S. 2016. What is a complex innovation system? PloS one, 11(6), e0156150.
Legendre, P., & Legendre, L. F. 2012. Numerical ecology (Vol. 24). Elsevier.
Lundvall B, Johnson B, Andersen ES, Dalum B. 2002. National systems of production, innovation and competence building. Research Policy 31: 213–231.
Lundvall B-Å 1992. National Systems of Innovation: Towards a Theory of Innovation and
Interactive Learning. Pinter, London
Maghrebi, M., Abbasi, A., Amiri, S., Monsefi, R., & Harati, A. 2011. A collective and abridged lexical query for delineation of nanotechnology publications. Scientometrics, 86(1), 15-25.
Merton, R. K. 1988. The Matthew Effect in Science, II: Cumulative Advantage and the Symbolism of Intellectual Property. Isis, 79(4), 606-623.
Mitchell, M. 2009. Complexity: A guided tour. Oxford University Press.
Milojevic, S. 2010. Modes of collaboration in modern science: Beyond power laws and preferential attachment. Journal of the American Society for Information Science and Technology, 61, 1410–1423.
Mohammadi, M., Tabatabaeean, S. H., Elyasi, M., & Roshani, S. 2013. Formation of emerging technological innovation system in Iran; Case of nanotechnology sector. Journal of Science and Technology Policy, 5(4).
Newman, M. E. J. 2001. Scientific collaboration networks. I. Network construction and fundamental results. Physical Review E, Statistical, Nonlinear, and Soft Matter Physics, 64(1 Pt 2), 016131.
Palmberg, K., 2009. Beyond process management: Exploring organizational applications and complex adaptive systems (Doctoral dissertation, Luleå tekniska universitet).
Pyka, A., & Fagiolo, G., 2007. 29 Agent-based modelling: a methodology for neo-Schumpeterian economics'. Elgar companion to neo-schumpeterian economics, 467.
Ronda-Pupo, G. A. 2017. The citation-based impact of complex innovation systems scales with the size of the system. Scientometrics, 112(1), 141-151.
Ronda-Pupo, G. A., & Katz, J. S. 2016. The scaling relationship between citation-based performance and international collaboration of Cuban articles in natural sciences. Scientometrics, 107(3), 1423-1434.
Ronda‐Pupo, G. A., & Katz, J. S. 2017. The scaling relationship between citation‐based performance and coauthorship patterns in natural sciences. Journal of the Association for Information Science and Technology, 68(5), 1257-1265.
Roshani, S., Ghazinoori, S., & Tabatabeian, S. H. 2014. A co-Authorship Network Analysis of Iranian Researchers in Technology policy and managemen. Journal of Science and Technology Policy, 6(2).
Roshani, S., Soofi, J., Ghazinoori, S., Amiri, M. 2017. Discovering transformative scientific articles based on Sigma Index: Agent based modelling field of study in Social Sciences. Journal of Scientometrics, (article in press).
Zhao, S. X., & Ye, F. Y. 2013. Power‐law link strength distribution in paper co-citation networks. Journal of the Association for Information Science and Technology, 64(7), 1480-1489.