المراجع

  • Adamic L. A. The small world web. In Lecture Notes in Computer Science, 1696, Proceedings of the European Conference on Digital Libraries (ECDL) ’99 Conference (Springer, Berlin, 1999), pp. 443–454.
  • Adamic, L. A., and Huberman, B. A. Power-law distribution of the World Wide Web. Science, 287, 2115a (2000).
  • Adamic, L. A., Lukose, R. M., Puniyani, A. R., and Huberman, B. A. Search in power-law networks. Physical Review E, 64, 046135 (2001).
  • Aguirre, B. E., Quarantelli, E. L., and Mendoza, J. L. The collective behavior of fads: The characteristics, effects, and career of streaking. American Sociological Review, 53, 569–584 (1988).
  • Aho, A. V., Hopcroft, J. E., and Ullman, J. D. Data Structures and Algorithms (Addison Wesley, Reading, MA, 1983).
  • Ahuja, R. K., Magnanti, T. L., and Orlin, J. B. Network Flows: Theory, Algorithms, and Applications (Prentice Hall, Englewood Cliffs, NJ, 1993).
  • Aiello, W., Chung, F., and Lu, L. A random graph model for massive graphs. In Proceedings of the 32nd Annual ACM Symposium on the Theory of Computing (Association for Computing Machinery, New York, 2000), pp. 171–180.
  • Albert, R., and Barabási, A. L. Statistical mechanics of complex networks. Review of Modern Physics, 74, 47–97 (2002).
  • Albert, R., Jeong, H., and Barabási, A. L. Attack and error tolerance of complex networks. Nature, 406, 378–382 (2000).
  • Alon, N., and Spencer, J. H. The Probabilistic Method (Wiley-Interscience, New York, 1992).
  • Amaral, L. A. N., Scala, A., Barthelemy, M., and Stanley, H. E. Classes of behavior of small-world networks. Proceedings of the National Academy of Sciences, 97, 11149–11152 (2000).
  • Anderson, P. W. More is different. Science, 177, 393–396 (1972).
  • Anderson, R. M., and May, R. M. Infectious Diseases of Humans (Oxford University Press, Oxford, 1991).
  • Arthur, W. B. Competing technologies, increasing returns, and lock-in by historical events. Economic Journal, 99(394), 116–131 (1989).
  • Arthur, W. B., and Lane, D. A. Information contagion. Structural Change and Economic Dynamics, 4(1), 81–103 (1993).
  • Asavathiratham, C. The Influence Model: A Tractable Representation for the Dynamics of Networked Markov Chains. Ph.D. Dissertation, Department of Electrical Engineering and Computer Science, MIT (MIT, Cambridge, MA, 2000).
  • Asch, S. E. Effects of group pressure upon the modification and distortion of judgments. In Cartwright, D., and Zander, A. (eds.), Group Dynamics: Research and Theory (Row, Peterson, Evanston, IL, 1953), pp. 151–162.
  • Asimov, I. The Caves of Steel (Doubleday, Garden City, NY, 1954).
  • ———. The Naked Sun (Doubleday, Garden City, NY, 1957). Axelrod, R. The Evolution of Cooperation (Basic Books, New York, 1984).
  • Axelrod, R., and Dion, D. The further evolution of cooperation. Science, 242, 1385–1390 (1988).
  • Bailey, N. T. J. The Mathematical Theory of Infectious Diseases and Its Applications (Hafner Press, New York, 1975).
  • Ball, F., Mollison, D., and Scalia-Tomba, G. Epidemics with two levels of mixing. Annals of Applied Probability, 7(1), 46–89 (1997).
  • Banerjee, A. V. A simple model of herd behavior. Quarterly Journal of Economics, 107, 797–817 (1992).
  • Barabási, A., and Albert, R. Emergence of scaling in random networks. Science, 286, 509–512 (1999).
  • Barabási, A. L. Linked: The New Science of Networks (Perseus Press, Cambridge, MA, 2002).
  • Barabási, A. L., Albert, R., Jeong, H., and Bianconi, G. Power-law distribution of the World Wide Web. Science, 287, 2115b (2000).
  • Barthelemy, M., and Amaral, L. A. N. Small-world networks: Evidence for a crossover picture. Physical Review Letters, 82, 3180–3183 (1999).
  • Bartholomew, D. J. Stochastic Models for Social Processes (Wiley, New York, 1967).
  • Batagelj, V., and Mrvar, A. Some analyses of Erdős collaboration graph. Social Networks, 22(2), 173–186 (2000).
  • Bernard, H. R., Killworth, P. D., Evans, M. J., McCarty, C., and Shelly, G. A. Studying relations cross-culturally. Ethnology, 27(2), 155–179 (1988).
  • Bickhchandani, S., Hirshleifer, D., and Welch, I. A theory of fads, fashion, custom and cultural change as informational cascades. Journal of Political Economy, 100(5), 992–1026 (1992).
  • Bollobas, B. Random Graphs, 2nd ed. (Academic, New York, 2001).
  • Bolton, P., and Dewatripont, M. The firm as a communication network. Quarterly Journal of Economics, 109(4), 809–839 (1994).
  • Boorman, S. A., and Levitt, P. R. The Genetics of Altruism (Academic Press, New York, 1980).
  • Boorman, S. A., and White, H. C. Social structure from multiple networks. II. Role structures. American Journal of Sociology, 81(6), 1384–1446 (1976).
  • Boots, M., and A. Sasaki. “Small worlds” and the evolution of virulence: Infection occurs locally and at a distance. Proceedings of the Royal Society of London, Series B, 266, 1933–1938 (1999).
  • Boyd, R. S., and Richerson, P. J. The evolution of reciprocity in sizable groups. Journal of Theoretical Biology, 132, 337–356 (1988).
  • Breiger, R. L. The duality of persons and groups. Social Forces, 53, 181–190 (1974).
  • Brin, S., and Page, L. The anatomy of a large-scale hypertextual web search engine. Computer Networks, 30, 107–117 (1998).
  • Burt, R. S. Structural Holes: The Social Structure of Competition (Harvard University Press, Cambridge, MA, 1992).
  • Callaway, D. S., Newman, M. E. J., Strogatz, S. H., and Watts, D. J. Network robustness and fragility: Percolation on random graphs. Physical Review Letters, 85, 5468–5471 (2000).
  • Carlson, J. M., and Doyle, J. Highly optimized tolerance: A mechanism for power laws in designed systems. Physical Review E, 60(2), 1412–1427 (1999).
  • Casti, J. L. Reality Rules I & II: Picturing the World in Mathematics: The Fundamentals, the Frontier (Wiley-Interscience, New York, 1997).
  • Chancellor, E. Devil Take the Hindmost: A History of Financial Speculation (Farrar, Straus and Giroux, New York, 1999).
  • Chandler, A. D. The Visible Hand: The Managerial Revolution in American Business (Belknap Press of Harvard University Press, Cambridge, MA, 1977).
  • Clippinger, J. (ed.) The Biology of Business: Decoding the Natural Laws of the Enterprise (Jossey-Bass, San Francisco, 1999).
  • Coase, R. The nature of the firm. Economica, n.s., 4 (November 1937).
  • ———. The Nature of the Firm (Oxford University Press, Oxford 1991).
  • Cohen, R. Who really brought down Milosevic? New York Times Magazine, November 26, 2000, p. 43.
  • Cohen, R., Erez, K., ben-Avraham, D., and Havlin, S. Resilience of the Internet to random breakdowns. Physical Review Letters, 85, 4626–4628 (2000).
  • ———. Breakdown of the Internet under intentional attack. Physical Review Letters, 86, 3682–3685 (2001).
  • Coleman, J. S., Katz, E., and Menzel, H. The diffusion of an innovation among physicians. Sociometry, 20, 253–270 (1957).
  • Davis, J. A. Structural balance, mechanical solidarity, and interpersonal relations. American Journal of Sociology, 68(4), 444–462 (1963).
  • Davis, G. F. The significance of board interlocks for corporate governance. Corporate Governance, 4(3), 154–159 (1996).
  • Davis, G. F., and Greve, H. R. Corporate elite networks and governance changes in the 1980s. American Journal of Sociology, 103(1), 1–37 (1997).
  • Davis, G. F., Yoo, M., and Baker, W. E. The small world of corporate elite (working paper, University of Michigan Business School, 2002).
  • Degenne, A., and Forse, M. Introducing Social Networks (Sage, London, 1999).
  • De Vany, A., and Lee, C. Quality signals in information cascades and the dynamics of motion picture box office revenues: A computational model. Journal of Economic Dynamics and Control, 25, 593–614 (2001).
  • De Vany, A. S., and Walls, W. D. Bose-Einstein dynamics and adaptive contracting in the motion picture industry. Economic Journal, 106, 1493–1514 (1996).
  • Dodds, P. S., Watts, D. J., and Sabel, C F. The structure of optimal redistribution networks. Institute for Social and Economic Research and Policy Working Paper, Columbia University, (2002).
  • Durlauf, S. N. A framework for the study of individual behavior and social interactions. Sociological Methodology, 31, 47–87 (2001).
  • Ebel, H., Mielsch, L. I., and Bornholdt, S. Scale-free topology of e-mail networks. Preprint cond-mat/0201476. (2002). Available on-line at http://xxx.lanl.gov/abs/cond-mat/0201476.
  • Economides, N. The economics of networks. International Journal of Industrial Organization, 16(4), 673–699 (1996).
  • Emirbayer, M., and Mische, A. What is agency? American Journal of Sociology, 103(4), 962–1023 (1998).
  • Erdős, P., and Rényi, A. On random graphs. Publicationes Mathematicae, 6, 290–297 (1959).
  • ———. On the evolution of random graphs. Publications of the Mathematical Institute of the Hungarian Academy of Sciences, 5, 17–61 (1960).
  • ———. On the strength and connectedness of a random graph. Acta Mathematica Scientia Hungary, 12, 261–267 (1961).
  • Faloutsos, M., Faloutsos, P., and Faloutsos, C. On power-law relationships of the Internet topology. Computer Communication Review, 29, 251–262 (1999).
  • Fama, E. F. Agency problems and the theory of the firm. Journal of Political Economy, 88, 288–307 (1980).
  • Farmer, J. D. Market force, ecology, and evolution. Industrial and Corporate Change, forthcoming (2002).
  • Farmer, J. D., and Joshi, S. The price dynamics of common trading strategies. Journal of Economic Behavior and Organization, 49(2), 149–171 (2002).
  • Farmer, J. D., and Lo, A. Frontiers of finance: Evolution and efficient markets. Proceedings of the National Academy of Sciences, 96, 9991–9992 (1999).
  • Ferguson, N. M., Donnelly, C. A., and Anderson, R. M. The foot-and-mouth epidemic in Great Britain: Pattern of spread and impact of interventions. Science, 292, 1155–1160 (2001).
  • ———.Transmission intensity and impact of control policies on the foot and mouth epidemic in Great Britain. Nature, 413, 542–548 (2001).
  • Ferrer i Cancho, R., Janssen, C., and Solé, R. V. Topology of technology graphs: Small world patterns in electronic circuits. Physical Review E, 64, 046119 (2001).
  • Flake, G. W. The Computational Beauty of Nature: Computer Explorations of Fractals, Chaos, Complex Systems, and Adaptation (MIT Press, Cambridge, MA, 1998).
  • Freeman, L. C. A set of measures of centrality based on betweenness. Sociometry, 40, 35–41 (1977).
  • Friedman, T. L. The Lexus and the Olive Tree: Understanding Globalization (Farrar, Straus and Giroux, New York, 1999).
  • Gell-Mann, M. The Quark and the Jaguar: Adventures in the Simple and the Complex (W. H. Freeman, New York, 1994).
  • Gibson, D., Kleinberg, J., and Raghavan, P. Inferring Web communities from link topology. In Proceedings of the 9th ACM Conference on Hypertext and Hypermedia (Association for Computing Machinery, New York 1998), pp. 225–234.
  • Gladwell, M. The Tipping Point: How Little Things Can Make a Big Difference (Little, Brown, New York, 2000).
  • Glaeser E. L., Sacerdote, B., and Schheinkman, J. A. Crime and social interactions. Quarterly Journal of Economics, 111, 507–548 (1996).
  • Glance, N. S., and Huberman, B. A. The outbreak of cooperation. Journal of Mathematical Sociology, 17(4), 281–302 (1993).
  • ———. The dynamics of social dilemmas. Scientific American, 270(3), 76–81 (1994).
  • Glover, P. Grassroots economics. In Context, 41, 30 (1995).
  • Granovetter, M. Threshold models of collective behavior. American Journal of Sociology, 83(6), 1420–1443 (1978).
  • Granovetter, M. S. The strength of weak ties. American Journal of Sociology, 78, 1360–1380 (1973).
  • Grossman, J. W., and Ion, P. D. F. On a portion of the well-known collaboration graph. Congressus Numerantium, 108, 129–131 (1995).
  • Guare, J. Six Degrees of Separation: A Play (Vintage Books, New York, 1990).
  • Harary, F. Graph theoretic measures in the management sciences. Management Science, 387–403 (1959).
  • Harden, B. Dr. Matthew’s passion. New York Times Magazine, February 18, 2001, pp. 24–62.
  • ———. Coming to grips with the enduring appeal of body piercing. New York Times, February 12, 2002, p. A16.
  • Hardin, G. The tragedy of the commons. Science, 162, 1243–1248 (1968).
  • Hart, O. Firms, Contracts and Financial Structure (Oxford University Press, New York, 1995).
  • Hauer, J. F., and Dagel, J. E. White Paper on Review of Recent Reliability Issues and System Events. Prepared for U.S. Department of Energy (1999). Available on-line at http://www.eren.doe.gov/der/transmission/pdfs/reliability/events.pdt.
  • Helper, S., MacDuffie, J. P., and Sabel, C. F. Pragmatic collaborations: Advancing knowledge while controlling opportunism. Corporate Change, 9, 3 (2000).
  • Hess, G. Disease in metapopulation models: Implications for conservation. Ecology, 77, 1617–1632 (1996).
  • Holland, J. H. Hidden Order: How Adaptation Builds Complexity (Perseus, Cambridge, MA, 1996).
  • Holland, P. W., and Leinhardt, S. An exponential family of probability distributions for directed graphs. Journal of the American Statistical Association, 76, 33–65 (1981).
  • Huberman, B. A., and Lukose, R. M. Social dilemmas and internet congestion. Science, 277, 535–537 (1997).
  • Ijiri, Y., and Simon, H. A. Skew Distributions and the Sizes of Business Firms (Elsevier/North-Holland, New York, 1977).
  • Jin, E. M., Girvan, M., and Newman, M. E. J. The structure of growing networks. Physical Review E, 64, 046132 (2001).
  • Kareiva, P. Population dynamics in spatially complex environments: Theory and data. Philosophical Transactions of the Royal Society of London, Series B, 330, 175–190 (1988).
  • Keeling, M. J. The effects of local spatial structure on epidemiological invasions. Proceedings of the Royal Society of London, Series B, 266, 859–867 (1999).
  • Keeling, M. J., Woolhouse, M. E. J., Shaw, D. J., Matthews, L., Chase-Topping, M., Haydon, D. T., Cornell, S. J., Kappey, J., Wilesmith, J., and Grenfell, B. T. Dynamics of the 2001 UK foot and mouth epidemic: Stochastic dispersal in a heterogeneous landscape. Science, 294, 813–817 (2001).
  • Kephart, J. O., Sorkin, G. B., Chess, D. M., and White, S. R. Fighting computer viruses. Scientific American, 277(5), 56–61 (1997).
  • Kephart, J. O., White, S. R., and Chess, D. M. Computer viruses and epidemiology. IEEE Spectrum, 30(5), 20–26 (1993).
  • Kermack, W. O., and McKendrick, A. G. A contribution to the mathematical theory of epidemics. Proceedings of the Royal Society of London, Series A, 115, 700–721 (1927).
  • ———. Contributions to the mathematical theory of epidemics. II. The problem of endemicity. Proceedings of the Royal Society of London, Series A, 138, 55–83 (1932).
  • ———. Contributions to the mathematical theory of epidemics. III. Further studies of the problem of endemicity. Proceedings of the Royal Society of London, Series A, 141, 94–122 (1933).
  • Killworth, P. D., and Bernard, H. R. The reverse small world experiment. Social Networks, 1, 159–192 (1978).
  • Kim, B. J., Yoon, C. N., Han, S. K., and Jeong, H. Path finding strategies in scale-free networks. Physical Review E, 65, 027103 (2002).
  • Kim, H., and Bearman, P. The structure and dynamics of movement participation. American Sociological Review, 62(1), 70–94 (1997).
  • Kindleberger, C. P. Manias, Panics, and Crashes: A History of Financial Crises, 4th ed. (Wiley, New York, 2000).
  • Kleinberg, J. Authoritative sources in a hyperlinked environment Journal of the ACM, 46, 604–632 (1999).
  • ———. The small-world phenomenon: An algorithmic perspective. In Proceedings of the 32nd Annual ACM Symposium on Theory of Computing (Association of Computing Machinery, New York, 2000), pp. 163–170.
  • ———. Navigation in a small world. Nature, 406, 845 (2000).
  • ———. Small-world phenomena and the dynamics of information. In Dietterich, T. G., Becker, S., and Ghahramani, Z. (eds.), Advances in Neural Information Processing Systems, (NIPS), 14 (MIT Press, Cambridge, MA, 2002).
  • Kleinberg, J., and Lawrence, S. The structure of the web. Science, 294, 1849 (2001).
  • Kleinfeld, J. S. The small-world problem. Society, 39(2), 61–66 (2002).
  • Knight, F. H. Risk, Uncertainty, and Profit (London School of Economics and Political Science, London, 1933).
  • Kochen, M. (ed.). The Small World (Ablex, Norwood, NJ, 1989).
  • Kogut, B., and Walker G. The small world of Germany and the durability of national networks. American Sociological Review, 66(3), 317–335 (2001).
  • Korte, C., and Milgram, S. Acquaintance networks between racial groups—application of the small world method. Journal of Personality and Social Psychology, 15(2), 101 (1970).
  • Kosterev, D. N., Taylor, C. W., and Mittelstadt, W. A. Model validation for the August 10, 1996 WSCC system outage. IEEE Transactions on Power Systems, 14(3), 967–979 (1999).
  • Kretschmar, M., and Morris, M. Measures of concurrency in networks and the spread of infectious disease. Mathematical Biosciences, 133, 165–195 (1996).
  • Krugman, P. Fear itself. New York Times Magazine, September 30, 2001, p. 36.
  • Kuperman, M., and Abramson, G. Small world effect in an epidemiological model. Physical Review Letters, 86, 2909–2912 (2001).
  • Langewiescher, W. American Ground: Unbuliding the World Trade Center (North Point Press, New York, 2002).
  • Lawrence, S., and Giles, C. L. Accessibility of information on the web. Nature, 400, 107–109 (1999).
  • Liljeros, F., Edling, C. R., Amaral, L. A. N., Stanley, H. E., and Aberg, Y. The web of human sexual contacts. Nature, 411, 907–908 (2001).
  • Lohmann, S. The dynamics of informational cascades: The Monday demonstrations in Leipzig, East Germany, 1989–91. World Politics, 47, 42–101 (1994).
  • Longini, I. M., Jr. A mathematical model for predicting the geographic spread of new infectious agents. Mathematical Biosciences, 90, 367–383 (1988).
  • Lorrain, F., and White, H. C. Structural equivalence of individuals in social networks. Journal of Mathematical Sociology, 1, 49–80 (1971).
  • Lyall, S. Return to sender, please. New York Times, December 24, 2000, Week in Review, p. 2.
  • Lynch, N. A. Distributed Algorithms (Morgan Kauffman, San Francisco, 1997).
  • MacDuffie, J. P. The road to “root cause”: Shop-floor problem-solving at three auto assembly plants. Management Science, 43, 4 (1997).
  • MacKenzie, D. Fear in the markets. London Review of Books, 22(8), 31-32 (2000).
  • Mackay, C. Extraordinary Popular Delusions and the Madness of Crowds (Harmony Books, New York, 1980).
  • Mannville, B. Complex adaptive knowledge management: A case study from McKinsey and Company. In Clippinger, J. H. (ed.), The Biology of Business: Decoding the Natural Laws of the Enterprise (Jossey-Bass, San Francisco, 1999), chapter 5.
  • March, J. G., and Simon, H. A. Organizations (Blackwell, Oxford, 1993).
  • Merton, R. K. The Matthew effect in science. Science, 159, 56–63 (1968).
  • Milgram, S. The small world problem. Psychology Today 2, 60–67 (1967).
  • ———. Obedience to Authority: An Experimental View (Harper & Row, New York, 1974).
  • ———. The Individual in a Social World: Essays and Experiments, 2nd ed. (McGraw-Hill, New York, 1992).
  • Milgrom, P., and Roberts, J. The economics of modern manufacturing: Technology, strategy, and organization. American Economic Review, 80(3), 511–528 (1990).
  • Mizruchi, M. S., and Potts, B. B. Centrality and power revisited: Actor success in group decision making. Social Networks, 20, 353–387 (1998).
  • Molloy, M., and Reed, B. A critical point for random graphs with a given degree sequence. Random Structures and Algorithms, 6, 161–179 (1995).
  • ———. The size of the giant component of a random graph with a given degree sequence. Combinatorics, Probability, and Computing, 7, 295–305 (1998).
  • Monasson, R. Diffusion, localization and dispersion relations on ‘small-world’ lattices. European Physical Journal B, 12(4), 555–567 (1999).
  • Moore, C., and Newman, M. E. J. Epidemics and percolation in small-world networks. Physical Review E, 61, 5678–5682 (2000).
  • ———. Exact solution of site and bond percolation on small-world networks. Physical Review E, 62, 7059–7064 (2000).
  • Moore, G. A. Crossing the Chasm: Marketing and Selling High-Tech Products to Mainstream Customers (Harper Business, New York, 1999).
  • Morris, S. N. Contagion. Review of Economic Studies, 67, 57–78 (2000).
  • Morse, M. Dollars or sense. Utne Reader, 99 (September–October 1999).
  • Murray, J. D. Mathematical Biology, 2nd ed. (Springer, Heidelberg, 1993).
  • Nadel, F. S. Theory of Social Structure (Free Press, Glencoe, IL, 1957).
  • Nagurney, A. Network Economics: A Variational Inequality Approach (Kluwer Academic, Boston, 1993).
  • Nelson, R. R., and Winter, S. G. An Evolutionary Theory of Economic Change (Belknap Press of Harvard University Press, Cambridge, MA, 1982).
  • Newman, M. E. J. Models of the small world. Journal of Statistical Physics, 101, 819–841 (2000).
  • ———. The structure of scientific collaboration networks. Proceedings of the National Academy of Sciences, 98, 404–409 (2001).
  • ———. Scientific collaboration networks: I. Network construction and fundamental results. Physical Review E, 64 016131 (2001).
  • ———. Scientific collaboration networks: II. Shortest paths, weighted networks, and centrality. Physical Review E, 64, 016132 (2001).
  • Newman, M. E. J., Barabási, A. L., and Watts, D. J. The Structure and Dynamics of Networks (Princeton University Press, Princeton, 2003).
  • Newman, M. E. J., and Barkema, G. T. Monte Carlo Methods for Statistical Physics (Clarendon Press, Oxford, 1999).
  • Newman, M. E. J., Moore, C., and Watts, D. J. Mean-field solution of the small-world network model. Physical Review Letters, 84, 3201–3204 (2000).
  • Newman, M. E. J., Strogatz, S. H., and Watts, D. J. Random graphs with arbitrary degree distributions and their applications. Physical Review E, 64, 026118 (2001).
  • Newman, M. E. J., and Watts, D. J. Scaling and percolation in the small-world network model. Physical Review E, 60, 7332–7342 (1999).
  • ———. Renormalization group analysis of the small-world network model. Physics Letters A, 263, 341–346 (1999).
  • 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, 2566–2572 (2002).
  • Nishiguchi, T., and Beaudet, A. Fractal design: Self-organizing links in supply chain management. In Von Krogh, G., Nonaka, I., and Nishiguchi, T. (eds.) Knowledge Creation: A New Source of Value (Macmillan, London, 2000).
  • Noelle-Neumann, E. Turbulences in the climate of opinion: Methodological applications of the spiral of silence theory. Public Opinion Quarterly, 41(2), 143–158 (1977).
  • Nowak, M. A., and May, R. M. Evolutionary games and spatial chaos. Nature, 359, 826–829 (1992).
  • Olson, M. The Logic of Collective Action: Public Goods and the Theory of Groups (Harvard University Press, Cambridge, MA, 1965).
  • Ostrom, E., Burger, J., Field, C. B., Norgaard, R. B., and Policansky, D. Revisiting the commons: Local lessons, global challenges. Science, 284, 278–282 (1999).
  • Palmer, R. Broken ergodicity. In Stein, D. L. (ed.), Lectures in the Sciences of Complexity, vol. I, Santa Fe Institute Studies in the Sciences of Complexity (Addison-Wesley, Reading, MA, 1989), pp. 275–300.
  • Pastor-Satorras, R., and Vespignani, A. Epidemic spreading in scale-free networks. Physical Review Letters, 86, 3200–3203 (2001).
  • ———. Epidemics and immunization in scale-free networks. In Bornholdt, S., and Schuster, H. G. (eds.), Handbook of Graphs and Networks: From the Genome to the Internet (Wiley-VCH, Berlin, 2002).
  • Pattison, P. Algebraic Models for Social Networks (Cambridge University Press, Cambridge, 1993).
  • Perrow, C. Normal Accidents: Living with High-Risk Technologies (Basic Books, New York, 1984).
  • Piore, M. J., and Sabel, C. F. The Second Industrial Divide: Possibilities for Prosperity (Basic Books, New York, 1984).
  • Pool, I. de Sola, and M. Kochen. Contacts and influence. Social Networks, 1(r), 1–51 (1978).
  • Powell, W., and DiMaggio, P. (eds.). The New Institutionalism in Organizational Analysis (Chicago, University of Chicago Press, 1991).
  • Preston, R. The Hot Zone (Random House, New York, 1994).
  • Price, D. J. de Solla. Networks of scientific papers. Science, 149, 510–515 (1965).
  • ———. A general theory of bibliometrics and other cumulative advantage processes. Journal of the American Society of Information Science, 27, 292–306 (1980).
  • Radner, R. The organization of decentralized information processing. Econometrica, 61(5), 1109–1146 (1993).
  • ———. Bounded rationality, indeterminacy, and the theory of the firm. Economic Journal, 106, 1360–1373 (1996).
  • Rapoport, A. A contribution to the theory of random and biased nets. Bulletin of Mathematical Biophysics, 19, 257–271 (1957).
  • ———. Mathematical models of social interaction. In Luce, R. D., Bush, R. R., and Galanter, E. (eds.), Handbook of Mathematical Psychology, vol. 2 (Wiley, New York, 1963), pp. 493–579.
  • ———. Certainties and Doubts: A Philosophy of Life (Black Rose Press, Montreal, 2000).
  • Rashbaum, W. K. Police officers swiftly show inventiveness during crisis. New York Times, September 17, 2001, p. A7.
  • Redner, S. How popular is your paper? An empirical study of the citation distribution. Europhysics Journal B, 4, 131–134 (1998).
  • Ritter, J. P. Why Gnutella can’t scale. No, really (working paper, available on-line http://www.darkridge.com/~jpr5/doc/gnutella.html, 2000).
  • Rogers, E. The Diffusion of Innovations, 4th ed. (Free Press, New York, 1995).
  • Romer, P. Increasing returns and long-run growth. Journal of Political Economy, 94(5), 1002–1034 (1986).
  • Sabel, C. F. Diversity, not specialization: The ties that bind the (new) industrial district. In Quadrio Curzio, A., and Fortis, M. (eds.), Complexity and Industrial Clusters Dynamics Models in Theory and Practice (Physica-Verlag, Heidelberg, 2002).
  • Sachtjen, M. L., Carreras, B. A., and Lynch, V. E. Disturbances in a power transmission system. Physical Review E, 61(5), 4877–4882 (2000).
  • Sah, R. K., and Stiglitz, J. E. The architecture of economic systems: Hierarchies and polyarchies. American Economic Review, 76(4), 716–727 (1986).
  • Sattenspiel, L., and Simon, C. P. The spread and persistence of infectious diseases in structured populations. Mathematical Biosciences, 90, 341–366 (1988).
  • Schelling, T. C. A study of binary choices with externalities. Journal of Conflict Resolution, 17(3), 381–428 (1973).
  • ———. Micromotives and Macrobehavior (Norton, New York, 1978).
  • Scott, A. Social Network Analysis, 2nd ed. (Sage, London, 2000).
  • Shiller, R. J. Irrational Exuberance (Princeton University Press, Princeton, NJ, 2000).
  • Simon, H. A. On a class of skew distribution functions. Biometrika, 42, 425–440 (1955).
  • Simon, H. A., Egidi, M., and Marris, R. L. Economics, Bounded Rationality and the Cognitive Revolution (Edward Elgar, Brookfield, VT, 1992).
  • Smith, A. The Wealth of Nations (University of Chicago Press, Chicago, 1976).
  • Solomonoff, R., and Rapoport, A. Connectivity of random nets. Bulletin of Mathematical Biophysics, 13, 107–117 (1951).
  • Sornette, D. Critical Phenomena in Natural Sciences (Springer, Berlin, 2000).
  • Sporns, O., Tononi, G., and Edelman, G. M. Theoretical neuroanatomy: Relating anatomical and functional connectivity in graphs and cortical connection matrices. Cerebral Cortex, 10, 127–141 (2000).
  • Stanley, H. E. Introduction to Phase Transitions and Critical Phenomena (Oxford University Press, Oxford, 1971).
  • Stark, D. C. Recombinant property in East European capitalism. American Journal of Sociology, 101(4), 993–1027 (1996).
  • ———. Heterarchy: Distributing authority and organizing diversity. In Clippinger, J. H. (ed.), The Biology of Business: Decoding the Natural Laws of the Enterprise (Jossey-Bass, San Francisco, 1999), chapter 7.
  • Stark, D. C., and Bruszt, L. Postsocialist Pathways: Transforming Politics and Property in East Central Europe (Cambridge University Press, Cambridge, 1998).
  • Stauffer, D., and Aharony, A. Introduction to Percolation Theory (Taylor and Francis, London, 1992).
  • Stein, D. L. Disordered systems: Mostly spin systems. In Stein, D. L. (ed.), Lectures in the Sciences of Complexity, vol. I, Santa Fe Institute Studies in the Sciences of Complexity (Addison-Wesley, Reading, MA, 1989), pp. 301–354.
  • Strogatz, S. H. Nonlinear Dynamics and Chaos with Applications to Physics, Biology, Chemistry, and Engineering (Addison-Wesley, Reading, MA, 1994).
  • ———. Norbert Wiener’s brain waves. In Levin, S. A. (ed.), Frontiers in Mathematical Biology, Lecture Notes in Biomathematics, 100 (Springer, New York, 1994), pp. 122–138.
  • ———. Exploring complex networks. Nature, 410, 268–275 (2001).
  • ———. Sync: The Emerging Science of Spontaneous Order (Hyperion, Los Angeles, 2003).
  • Strogatz, S. H., and Stewart, I. Coupled oscillators and biological synchronization. Scientific American, 269(6), 102–109 (1993).
  • Travers, J., and Milgram, S. An experimental study of the small world problem. Sociometry, 32(4), 425–443 (1969).
  • Valente, T. W. Network Models of the Diffusion of Innovations (Hampton Press, Cresskill, NJ, 1995).
  • Van Zandt, T. Decentralized information processing in the theory of organizations. In Sertel, M. (ed.), Contemporary Economic Issues, vol. 4: Economic Design and Behavior (Macmillan, London, 1999), chapter 7.
  • Wagner, A., and Fell, D. The small world inside large metabolic networks. Proceedings of the Royal Society of London, Series B, 268, 1803–1810 (2001).
  • Waldrop, M. M. Complexity: The Emerging Science at the Edge of Order and Chaos (Touchstone, New York, 1992).
  • Walsh, T. Search in a small world. Proceedings of the 16th International Joint Conference on Artificial Intelligence (Morgan Kaufmann, San Francisco, 1999), pp. 1172–1177.
  • Ward, A., Liker, J. K., Cristiano, J. J., and Sobek, D. K. The second Toyota paradox: How delaying decisions can make better cars faster. Sloan Management Review, 36(3), 43–51 (1995).
  • Wasserman, S., and Faust, K. Social Network Analysis: Methods and Applications (Cambridge University Press, Cambridge, 1994).
  • Watts, D. J. Networks, dynamics and the small-world phenomenon. American Journal of Sociology, 105(2), 493–527 (1999).
  • ———. Small Worlds: The Dynamics of Networks between Order and Randomness (Princeton University Press, Princeton, NJ, 1999).
  • ———. A simple model of global cascades on random networks. Proceedings of the National Academy of Sciences, 99, 5766–5771 (2002).
  • Watts, D. J., Dodds, P. S., and Newman, M. E. J. Identity and search in social networks. Science, 296, 1302–1305 (2002).
  • Watts, D. J., and Strogatz, S. H. Collective dynamics of ‘small-world’ networks. Nature, 393, 440–442 (1998).
  • West, D. B. Introduction to Graph Theory (Prentice-Hall, Upper Saddle River, NJ, 1996).
  • White, H. C. What is the center of the small world? (paper presented at American Association for the Advancement of Science annual symposium, Washington, D.C., February 17–22, 2000).
  • White, H. C., Boorman, S. A., and Breiger, R. L. Social structure from multiple networks. I. Blockmodels of roles and positions. American Journal of Sociology, 81(4), 730–780 (1976).
  • Wildavsky, B. Small world, isn’t it? U. S. News and World Report, April 1, 2002, p. 68.
  • Williamson, O. E. Markets and Hierarchies (Free Press, New York, 1975).
  • ———. Transaction cost economics and organization theory. In Smelser, N. J., and Swedberg, R. (eds.), The Handbook of Economic Sociology (Princeton University Press, Princeton, NJ, 1994), pp. 77–107.
  • Winfree, A. T. Biological rhythms and the behavior of populations of coupled oscillators. Journal of Theoretical Biology, 16, 15–42 (1967).
  • ———. The Geometry of Biological Time (Springer, Berlin, 1990).
  • WSCC Operations Committee. Western Systems Coordinating Council Disturbance Report, August 10, 1996 (October 18, 1996). Available on-line at http://www.wscc.com/outages.htm.
  • Zipf, G. K. Human Behavior and the Principle of Least Effort (Addison-Wesley, Cambridge, MA, 1949).

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