What is a complex innovation system?

PLoS ONE

Volumn 11, Issue 6, 2016, Pages

  Katz, J Sylvan ^a,b,c  

^a UNIVERSITY OF SUSSEX   (United Kingdom)

^b UNIVERSITY OF SASKATCHEWAN   (Canada)

^c Science Metrix   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

POLICY; PUBLICATION; QUANTITATIVE STUDY; SCOPUS; WEB OF SCIENCE; HUMAN; PUBLISHING; RESEARCH;

HUMANS; PUBLISHING; RESEARCH;

EID: 84973638709     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0156150     Document Type: Article

References (103)

1. Dosi G (1988) The Nature of the Innovative Process. In: S L., editor. Technical Change and Economic Theory. London: Pinter Publishers. pp. 222.
2. Freeman C (1995) The 'national system of innovation' in historical perspective. Cambridge Journal of Economics 19: 5-24.
3. Filippetti A, Archibugi D (2011) Innovation in times of crisis: National Systems of Innovation, structure, and demand. Research Policy 40: 179-192.
4. Lundvall B, Johnson B, Andersen ES, Dalum B (2002) National systems of production, innovation and competence building. Research Policy 31: 213-231.
5. Husbands F, Lane J, Marburger J, Shipp S, editors (2011) The Science of Science Policy - A Handbook: Stanford University Press.
6. Lane J (2010) Let's make science metrics more scientific. 464: 488-489.
7. Abbot A, Cyranoski D, Jones N, Maher B, Schierneier Q, et al. (2010) Metrics: Do metrics matter? Nature 465: 860-862. doi: 10.1038/465860a PMID: 20559361
8. Lane J (2009) The Science of Science and Innovation Policy (SciSIP) Program at the US National Science Foundation. Bridges 22.
9. Kwapień J, Drożdż S (2012) Physical approach to complex systems. Physics Reports 515: 115-226.
10. Katz JS (2012) Scale-Independent Measures: Theory and Practice. In: Archambault É, Gingras Y, Larivière V, editors. 17th International Conference on Science and Technology Indicators. Sept 5-8, Montreal, Canada. pp. 1.
11. Stephens C (2012) What Isn't Complexity? In: Flores Valdes J, Martinez-Mekler G, editors. Encuentros con la Complejidad: Siglo XXI Editores.
12. Poli C (2013) A Note on the Difference Between Complicated and Complex Social Systems. Cadmus 2: 142-147.
13. Weaver W (1948) Science and Complexity. American Scientist 36: 536-544. PMID: 18882675
14. Baranger M (2001) Chaos, Complexity, and Entropy: A physics talk for non-physicists. Wesleyan University Physics Dept Colloquium: available at http://necsi.org/projects/baranger/cce.pdf.
15. Marković D, Gros C (2014) Power laws and self-organized criticality in theory and nature. Physics Reports 536: 41-74.
16. Vicsek T (2002) Complexity: The bigger picture. Nature 418: 131.
17. Morel B, Ramanujam R (1999) Through the Looking Glass of Complexity: The Dynamics of Organizations as Adaptive and Evolving Systems. Organization Science 10: 278-293.
18. Davies PCW, Rieper E, Tuszynski JA (2013) Self-organization and entropy reduction in a living cell. Biosystems 111: 1-10. doi: 10.1016/j.biosystems.2012.10.005 PMID: 23159919
19. Sante Fe Institute - Complexity Explorer.
20. Piantadosi S (2014) Zipf's word frequency law in natural language: A critical review and future directions. Psychonomic Bulletin & Review 21: 1112-1130.
21. Egghe L (2009) Lotkaian informetrics and applications to social networks. 689-703.
22. Whitfield J (2005) Complex systems: Order out of chaos. 436: 905-907.
23. Schroeder M (1991) Fractals, chaos and power laws. New York: W.H. Freeman and Company.
24. Paradisi P, Kaniadakis G, Scarfone AM (2015) The emergence of self-organization in complex systems-Preface. Chaos, Solitons & Fractals 81, Part B: 407-411.
25. Cohen I, Harel D (2007) Explaining a complex living system: dynamics, multi-scaling and emergence. Journal of the Royal Society Interface 4: 175-182.
26. Harper D, Endres A (2012) The anatomy of emergence, with a focus upon capital formation. Journal of Economic Behavior & Organization 82: 352-367.
27. RUS CO (2008) Fibonacci numbers in horticulture. Bulletin of University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca Horticulture 65: 603-607.
28. van Raan AFJ (1990) Fractal dimension of co-citations. Nature 347: 626-626.
29. Mandelbrot B (1967) How Long Is the Coast of Britain? Statistical Self-Similarity and Fractional Dimension. Science 156: 636-638. PMID: 17837158
30. Newman MEJ (2005) Power laws, Pareto distributions and Zipf's law. Contemporary Physics 46: 323-351.
31. Gibrat R (1931) Les Inégalités économiques. Paris.
32. Merton R (1968) The Matthew Effect in Science. Science 159: 56-63.
33. Merton RK (1988) The Matthew Effect in Science, II: Cumulative Advantage and the Symbolism of Intellectual Property. Isis 79: 606-623.
34. de Solla Price D (1976) A General Theory of Bibliometric and Other Cumulative Advantage Processes. Journal of the American Society for Information Science 27: 292-306.
35. Barabási A-L, Albert R (1999) Emergence of scaling in random networks. Science 286: 509-512. PMID: 10521342
36. Collevecchio A, Cotar C, LiCalzi M (2013) On a preferential attachment and generalized Polya's urn model. 1219-1253.
37. Hébert-Dufresne L, Allard A, Young J-G, Dubé LJ (2016) Constrained growth of complex scale-independent systems. Physical Review E 93: 032304. PMID: 27078363
38. Madhushani K, Sonnadara D (2012) Fractal Analysis of Cloud Shapes. Proceedings of the Technical Sessions 28: 59-64.
39. Katz JS (2006) Indicators for complex innovation systems. Research Policy 35: 893-909.
40. Bettencourt LMA, Lobo J, Strumsky D, West G (2010) Urban Scaling and Its Deviations: Revealing the Structure of Wealth, Innovation and Crime across Cities. PLoS ONE 5.
41. Crespo JA, Ortuño-Ortín I, Ruiz-Castillo J (2012) The Citation Merit of Scientific Publications. PLoS ONE 7: e49156. doi: 10.1371/journal.pone.0049156 PMID: 23152867
42. CWTS Leiden Ranking Methodology.
43. Brzezinski M (2015) Power laws in citation distributions: evidence from Scopus. Scientometrics: 1-16.
44. Clauset A, Shalizi C, Newman M (2009) Power-law distributions in empirical data. SIAM Review 51: 661-703.
45. Katz S (2012) Scale-Independent Measures: Theory and Practice - PowerPoint Presentation (~130 mb/need to enable macros).
46. Kazuko Y, Kaushik M, Sergey V, Dongfeng F, Pammolli F, et al. (2006) Preferential attachment and growth dynamics in complex systems. PHYSICAL REVIEW E 74: 035103-035101.
47. Girvan M, Newman MEJ (2002) Community structure in social and biological networks. Proceedings of the National Academy of Sciences of the United States of America 99: 7821-7826. PMID: 12060727
48. Palla G, Derenyi I, Farkas I, Vicsek T (2005) Uncovering the overlapping community structure of complex networks in nature and society. Nature 435: 814-818. PMID: 15944704
49. Reed W, Hughes B (2003) Power-law distributions from exponential processes: an explanation for the occurrence of long-tailed distributions in biology and elsewhere. Scientiae Mathematicae Japonicae 58: 473-483.
50. Naranan S (1970) Bradford's Law of Bibliography of Science: an Interpretation. Nature 227: 631-632. PMID: 5429302
51. Mitzenmacher M (2003) A brief history of generative models for power law and lognormal distributions. Internet Mathematics 1: 226-251.
52. Corominas-Murtra B, Hanel R, Thurner S (2015) Understanding scaling through history-dependent processes with collapsing sample space. Proceedings of the National Academy of Sciences 112: 5348-5353.
53. Leydesdorff L, Etzkowitz H (1996) Emergence of a Triple Helix of university - industry - government relations. Science and Public Policy 23: 279-286.
54. Kuhlmann S, Boekholt P, Georghiou L, Guy K, Heraud J, et al. (1999) Improving Distributed Intelligence in Complex Innovation Systems.
55. Lemay M, Sá C (2012) Complexity sciences: towards an alternative approach to understanding the use of academic research. Evidence & Policy: A Journal of Research, Debate & Practice 8: 473-494.
56. Dougherty D, Dunne D (2011) Organizing Ecologies of Complex Innovation. Organization Science 22: 1214-1223.
57. Katz JS (2000) Scale-independent indicators and research assessment. Science and Public Policy 27: 23-36.
58. Pavitt K (2003) The Process of Innovation.
59. Cooksey R (2011) Yours, Mine or Ours: What Counts as Innovation? The Journal of Agricultural Education and Extension 17: 283-295.
60. Rose-Anderssen C, Allen P, Tsinopoulos C, McCarthy I (2005) Innovation in manufacturing as an evolutionary complex system. Technovation 25: 1093-1105.
61. Foster J, Metcalfe J (2012) Economic emergence: An evolutionary economic perspective. Journal of Economic Behavior & Organization 82: 420-432.
62. Yilmaz L. Innovation Systems Are Self-organizing Complex Adaptive Systems; 2008. pp. 142-148.
63. Ahrweiler P (2010) Innovation in complex social systems: Routledge.
64. Carlsson B (2016) Industrial Dynamics: A Review of the Literature 1990-2009. Industry and Innovation: 1-62.
65. Ivanova IA, Leydesdorff L (2014) Rotational symmetry and the transformation of innovation systems in a Triple Helix of university-industry-government relations. Technological Forecasting and Social Change 86: 143-156.
66. Plerou V, Gopikrishnan P, Nunes Amaral LA, Meyer M, Stanley HE (1999) Scaling of the distribution of price fluctuations of individual companies. Physical Review E 60: 6519-6529.
67. Plerou V, Amaral LAN, Gopikrishnan P, Meyer M, Stanley HE (1999) Similarities between the growth dynamics of university research and of competitive economic activities. Nature 400: 433-437.
68. Matia K, Amaral LAN, Luwel M, Moed HF, Stanley HE (2005) Scaling phenomena in the growth dynamics of scientific output. Journal of the American Society for Information Science and Technology 56: 893-902.
69. Biggiero L, Angelini PP (2015) Hunting scale-free properties in collaboration networks: Self-organization, power-law and policy issues in the European aerospace research area. Technological Forecasting and Social Change 94: 21-43.
70. Gao X, Guan J (2009) A scale-independent analysis of the performance of the Chinese innovation system. Journal of Informetrics 3: 321-331.
71. Bettencourt LMA, Lobo J, Helbing D, Kühnert C, West GB (2007) Growth, innovation, scaling, and the pace of life in cities. Proceedings of the National Academy of Sciences 104: 7301-7306.
72. Arbesman S, Kleinberg JM, Strogatz SH (2009) Superlinear scaling for innovation in cities. PHYSICAL REVIEW E 79: 016115.
73. Bettencourt LMA, Lobo J, Strumsky D (2007) Invention in the city: Increasing returns to patenting as a scaling function of metropolitan size. Research Policy 36: 107-120.
74. Gao X, Guo X, Katz J, Guan J (2010) The Chinese innovation system during economic transition: A scale-independent view. Journal of Informetrics 4: 618-628.
75. Bound J, Cummins C, Griliches Z, Hall BH, Jaffe AB (1984) R & D, Patents, and Productivity: University of Chicago Press.
76. O'Neale DRJ, Hendy SC (2012) Power Law Distributions of Patents as Indicators of Innovation. PLoS ONE 7: e49501. doi: 10.1371/journal.pone.0049501 PMID: 23227144
77. Brantle TF, Fallah MH. Complex Innovation Networks, Patent Citations and Power Laws; 2007 5-9 Aug. pp. 540-549.
78. van Raan A (2013) Universities Scale Like Cities. PLoS ONE 8: e59384. doi: 10.1371/journal.pone.0059384 PMID: 23544062
79. de Solla Price D (1965) Networks of Scientific Papers. Science 149: 510-515. PMID: 14325149
80. Rousseau B, Rousseau R (2000) LOTKA: A program to fit a power law distribution to observed frequency data. Cybermetrics 4.
81. Buchanan M (2008) Laws, power laws and statistics. Nat Phys 4: 339-339.
82. Albarrán P, Crespo J, Ortuño I, Ruiz-Castillo J (2011) The skewness of science in 219 sub-fields and a number of aggregates. Scientometrics 88: 385-397.
83. Redner S (1998) How popular is your paper? An empirical study of the citation distribution. The European Physical Journal B - Condensed Matter and Complex Systems 4: 1434-6028.
84. Newman M (2011) SIGMETRICS posting - https://listserv.utk.edu/cgi-bin/wa?A2=ind1109&L=sigmetrics&T=0&F=&S=&X=1CF66970C633426B19&P=3693.
85. Waltman L, van Eck N, van Leeuwen T, Visser M, van Raan A (2011) Towards a new crown indicator: Some theoretical considerations. Journal of Informetrics 5: 37-47.
86. Pennock DM, Flake GW, Lawrence S, Glover EJ, Giles CL (2002) Winners don't take all: Characterizing the competition for links on the web. Proceedings of the National Academy of Sciences 99: 5207-5211.
87. Thelwall M, Wilson P (2014) Distributions for cited articles from individual subjects and years. Journal of Informetrics 8: 824-839.
88. Peterson GJ, Press S, Dill KA (2010) Nonuniversal power law scaling in the probability distribution of scientific citations. Proceedings of the National Academy of Sciences 107: 16023-16027.
89. Newman MEJ (2001) The structure of scientific collaboration networks. Proceedings of the National Academy of Sciences 98: 404-409.
90. Cohen R, Havlin S (2003) Scale-Free Networks Are Ultrasmall. Physical Review Letters 90: 058701. PMID: 12633404
91. Katz JS, Cothey V (2006) Web Indicators for Complex Innovation Systems. Research Evaluation 14: 85-95.
92. Katz JS (1999) The Self-Similar Science System. Research Policy 28: 501-517.
93. Hirsch JE (2005) An index to quantify an individual's scientific research output. Proceedings of the National Academy of Sciences of the United States of America 102: 16569-16572. PMID: 16275915
94. Ronda-Pupo GA, Katz J (2015) Power-law Relationship between Citation Based Performance and Collaboration in Articles on Management Journals: A Scale-independent Approach. JASIST (online - early view).
95. Ronda-Pupo GA, Katz JS (2016) The Scaling Relationship between Citation-Based Performance and Co-authorship Patterns in Natural Sciences. JASIST (Forthcoming).
96. Archambault É, Beauchesne O, Côté G, Roberge G. Scale-Adjusted Metrics of Scientific Collaboration. In: Noyons B, Ngulube P. et Leta J., editor; 2011; Durban, South Africa. pp. 78-88.
97. van Raan A (2008) Bibliometric Statistical Properties of the 100 Largest European Research Universities: Prevalent Scaling Rules in the Science System. Journal of the American Society for Information Science 59: 461-475.
98. van Raan A (2008) Scaling rules in the science system: Influence of field-specific citation characteristics on the impact of research groups. Journal of the American Society for Information Science and Technology 59: 565-576.
99. Nomaler Ö, Frenken K, Heimeriks G (2014) On Scaling of Scientific Knowledge Production in U.S. Metropolitan Areas. PLoS ONE 9: e110805. doi: 10.1371/journal.pone.0110805 PMID: 25353686
100. Katz JS (2005) Scale-independent bibliometric indicators. Measurement: Interdisciplinary Research and Perspectives 3: 24-28.
101. Katz JS (2012) Scale-Independent Measures: Theory and Practice - Power Point Presentation. 17th International Conference on Science and Technology Indicators. Sept 5-8, Montreal, Canada available from http://2012.sticonference.org/Proceedings/katz.pptm.
102. Börner K, Klavans R, Patek M, Zoss A, Biberstine J, et al. (2012) Design and Update of a Classification System: The UCSD Map of Science. PLoS ONE 7: e39464. doi: 10.1371/journal.pone.0039464 PMID: 22808037
103. Gillespie C (2014) Fitting heavy tailed distributions: the poweRlaw package. arXiv:14073492.