Indicators for complex innovation systems

Research Policy

Volumn 35, Issue 7, 2006, Pages 893-909

  Katz, J Sylvan ^a,b  

^a UNIVERSITY OF SUSSEX   (United Kingdom)

^b UNIVERSITY OF SASKATCHEWAN   (Canada)

Author keywords

Complex system; Emergent; Indicator; Innovation system; Power law

Indexed keywords

CORRELATION METHODS; DECISION MAKING; ECONOMICS; POPULATION STATISTICS; PUBLIC POLICY;

DECISION MAKERS; INNOVATION SYSTEMS; NATIONAL WEALTH; PERFORMANCE INDICATORS;

RESEARCH AND DEVELOPMENT MANAGEMENT;

EID: 33747391622     PISSN: 00487333     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.respol.2006.03.007     Document Type: Article

References (59)

1. Albert R., and Barabasi A.L. Statistical mechanics of complex networks. Reviews of Modern Physics 74 (2002) 47-97
2. Amaral L.A.N., and Ottino J.M. Complex networks: augmenting the framework for the study of complex systems. European Physical Journal B 38 (2004) 147-162
3. Amaral L.A.N., Gopikrishnan P., Plerou V., and Stanley H.E. A model for the growth dynamics of economic organizations. Physica A 299 (2001) 127-136
4. Amaral L.A.N., Buldyrev S.V., Havlin S., Salinger M.A., and Stanley H.E. Power law scaling for a system of interacting units with complex internal structure. Physical Review Letters 80 (1998) 1386-1388
5. Barabási A.-L. Emergence of scaling in complex networks. In: Bornholdt S., and Schuster H.G. (Eds). Handbook of Graphs and Networks: From the Genome to the Internet (2003), Wiley
6. Barabási A.-L., and Albert R. Emergence of scaling in random networks. Science 286 (1999) 509-512
7. Barabási A.-L., Ravasza E., and Vicsek T. Deterministic scale-free networks. Physica A 299 (2001) 559-564
8. 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.
9. Barnsley M. Fractals Everywhere (1988), Academic Press Inc.
10. Blok, H.J., 2000. On the nature of the stock market: simulation and experiments, Doctoral thesis, Department of Physics and Astronomy, University of British Columbia.
11. Bührer, S., Ludewig, N., 2004. A comparative guide to multi actors and multi measures programmes (MAPS) in RTDI policy. Wien StarMAP project. Technologie Impulse Gesellschaft, Vienna.
12. Carlson J.M., and Doyle J.C. Complexity and robustness. Proceedings of the National Academy of Sciences 99 (2002) 2538-2545
13. Christensen K., Danon L., Scanlon T., and Bak P. Unified scaling law for earthquakes. Proceedings of the National Academy of Sciences 99 (2002) 2509-2513
14. de Price S.D.J. Little Science, Big Science (1963), Columbia University Press
15. de Price S.D.J. A general theory of bibliometric and other cumulative advantage processes. Journal of the American Society for Information Science 27 (1976) 292-306
16. Dorogovtsev, S.N., Goltsev, A.V., Mendes, J.F.F. 2001. Pseudofractal Scale-free Web. arXiv:cond-mat/0112143, 1, 1-5.
17. European Commission, 2003. Towards a European Research Area, Special Edition: Indicators for Benchmarking of National Research Policies.
18. Faloutsos M., Faloutsos P., and Faloutsos C. On power law relationships of the Internet topology. Sigcomm (1999) 1-12
19. Freeman C. Technology and Economic Performance: Lessons From Japan (1987), Pinter Publishers
20. Gibrat, R., 1931. Les Inégalités économiques. Recueil Sirey.
21. Godin B. The most cherished indicator: Gross Domestic Expenditure on R&D (GERD). Measurement and Statistics on Science and Technology: 1920 to the Present (2005), Routledge
22. Goldberger A.L., Amaral L.A.N., Hausdorff J.M., Ivanov P.Ch., Peng C.K., and Stanley H.E. Fractal dynamics in physiology: alterations with disease and aging. Proceedings of the National Academy of Sciences 99 (2002) 2466-2472
23. Havemann F., Heinz M., and Wagner-Döbler R. Firm-like behaviour of journals? Scaling properties of their output and impact growth dynamics. Journal of the American Society for Information Science and Technology 56 (2005) 3-12
24. Holbrook J.A.D. The influence of scale effects on international comparisons of R&D expenditures. Science and Public Policy 18 (1991) 259-262
25. Juran J.M. Pareto, Lorenz, Cournot Bernoulli, Juran and others. Industrial Quality Control (1950) 25
26. Katz J.S. Scale independent indicators and research assessment. Science and Public Policy 27 (2000) 23-36
27. Katz J.S. Scale independent bibliometric indicators. Measurement: Interdisciplinary Research and Perspectives 3 (2005) 24-28
28. Katz J.S., and Katz L. Fractal (power law) analysis of athletic performance. Sports Medicine Training and Rehabilitation 5 (1994) 95-105
29. Katz J.S., and Katz L. Power Laws and Athletic Performance. Journal of Sports Science 17 (1999) 467-476
30. Katz J.S., and Cothey V. Web Indicators for Complex Innovation Systems. Research Evaluation 14 2 (2006)
31. Kline S., and Rosenberg N. An overview of innovation. In: Rosenberg R.L.N. (Ed). The Positive Sum Strategy: Harnessing Technology for Economic Growth (1986), National Academy Press
32. Lotka A.J. The frequency distribution of scientific productivity. Journal of the Washington Academy of Sciences 16 (1926) 317-323
33. Lundvall B.A. National Systems of Innovation: Towards a Theory of Innovation and Interactive Learning (1992), Pinter
34. Mitzenmacher M. A brief history of generative models for power law and lognormal distributions. Internet Mathematics 1 (2003) 226-251
35. Mossa S., Barthelemy M., Stanley H.E., and Amaral L.A.N. Truncation of power law behavior in "scale-free" network models due to information filtering. Physical Review Letters 88 (2002) 138701-138704
36. Neary J.P. Purchasing Power Parity. In: McCusker J.J., et al. (Ed). Encyclopedia of World Trade Since 1450 (2005), Macmillan Reference
37. Newman M.E.J. The power of design. Nature 405 (2000) 412-413
38. Newman M.E.J. The structure of scientific collaboration networks. Proceedings of the National Academy of Sciences 98 (2001) 404-409
39. Newman M.E.J. The Structure and function of complex networks. Society for Industrial and Applied Mathematics 45 (2003) 167-256
40. Newman M.E.J. Power laws, Pareto distributions and Zipf's law. Contemporary Physics 46 (2005) 323-351
41. Newman M.E.J., Watts D.J., and Strogatz S.H. Random graph models of social networks. Proceedings of the National Academy of Sciences 99 (2002) 2566-2572
42. Pareto V. Cours d'economie politique (1897), Droz, Geneva, Switzerland
43. Parrish J.K., Viscid S.V., and Grunbaum D. Self-organized fish schools: an examination of emergent properties. Biology Bulletin 202 (2002) 296-305
44. Peterson G.D. Scaling ecological dynamics: self-organization, hierarchical structure and ecological resilience. Climatic Change 44 (2000) 291-309
45. Plerou V., Amaral L.A.N., Gopikrishnan P., Meyer M., and Stanley H.E. Similarities between the growth dynamics of university research and of competitive economic activities. Nature 400 (1999) 433-437
46. Schroeder M. Fractals, Chaos and Power Laws (1991), W.H. Freeman and Company
47. Schuch K. The emergence of the European innovation system and its impact on the Austrian S&T system. Proceedings from the 38th Congress of the European Regional Science Association. 28 August-1 September, Vienna (1998)
48. Solomon S., and Agay A. Power-laws and scaling in the Generalized Lotka-Volterra (GLV) Model. First Workshop on Econophysics. Budapest (1997)
49. Stahel W.A. Value from a complex dynamic system's perspective. Ecological Economics 54 (2005) 370-381
50. Stanley H.E., and Plerou V. Scaling and universality in economics: empirical results and theoretical interpretation. Quantitative Finance 1 (2001) 563-567
51. Stoneman P. Handbook of the Economics of Innovation and Technological Change. Blackwell Handbooks in Economics (1995), Blackwell
52. Strogatz S.H. Exploring complex networks. Nature 410 (2001) 268-276
53. Strogatz S.H. Romanesque networks. Nature 433 (2005) 365
54. van Raan A.F.J. For your citations only? Hot topics in bibliometric analysis. Measurement: Interdisciplinary Research and Perspectives 3 (2005) 50-62
55. van Raan A.F.J. Statistical properties of bibliometric indicators: research group indicator distributions and correlations. Journal of the American Society for Information Science and Technology 57 (2006) 408-430
56. Warhaft Z. Turbulence in nature and in the laboratory. Proceedings of the National Academy of Sciences 99 (2002) 2481-2486
57. West B.J. Thoughts on modeling complexity. Complexity 11 (2006) 33-43
58. West G.B., Woodruff W.H., and Brown J.H. Allometric scaling of metabolic rate from molecules and mitochondria to cells and mammals. Proceedings of the National Academy of Sciences 99 (2002) 2473-2478
59. Zipf G.K. Human Behavior and the Principle of Least Effort (1949), Addison-Wesley