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Social percolation models

Citations

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Cited by:

  1. Cantono, Simona, 2012. "Unveiling diffusion dynamics: an autocatalytic percolation model of environmental innovation diffusion and the optimal dynamic path of adoption subsidies," Department of Economics and Statistics Cognetti de Martiis LEI & BRICK - Laboratory of Economics of Innovation "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio 201222, University of Turin.
  2. Johann Lussange & Ivan Lazarevich & Sacha Bourgeois-Gironde & Stefano Palminteri & Boris Gutkin, 2021. "Modelling Stock Markets by Multi-agent Reinforcement Learning," Computational Economics, Springer;Society for Computational Economics, vol. 57(1), pages 113-147, January.
  3. Kanai, Yasuhiro & Abe, Keiji & Seki, Yoichi, 2015. "Price percolation model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 427(C), pages 226-233.
  4. Zhang, Yongping & Lin, Diao & Liu, Xiaoyue Cathy, 2019. "Biking islands in cities: An analysis combining bike trajectory and percolation theory," Journal of Transport Geography, Elsevier, vol. 80(C).
  5. Denis Phan, 2006. "Discrete Choices under Social Influence:Generic Properties," Post-Print halshs-00105857, HAL.
  6. Thomas Grebel, 2011. "Innovation and Health," Books, Edward Elgar Publishing, number 14375.
  7. Koen Frenken, 2006. "Technological innovation and complexity theory," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 15(2), pages 137-155.
  8. Jiang, Yonglei & Liao, Feixiong & Jin, Lianjie, 2021. "Effects of locational accessibility on firm diffusion characteristics: The case of Sino-Europe Economic Corridor," Transport Policy, Elsevier, vol. 105(C), pages 80-93.
  9. E. Samanidou & E. Zschischang & D. Stauffer & T. Lux, 2007. "Agent-based Models of Financial Markets," Papers physics/0701140, arXiv.org.
  10. Joachim Henkel & Jörn Block, 2013. "Peer influence in network markets: a theoretical and empirical analysis," Journal of Evolutionary Economics, Springer, vol. 23(5), pages 925-953, November.
  11. Schweitzer, Frank, 2021. "Social percolation revisited: From 2d lattices to adaptive networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 570(C).
  12. Thomas Grebel, 2013. "Network Evolution in Basic Science," Economic Complexity and Evolution, in: Guido Buenstorf & Uwe Cantner & Horst Hanusch & Michael Hutter & Hans-Walter Lorenz & Fritz Rahmeyer (ed.), The Two Sides of Innovation, edition 127, pages 39-53, Springer.
  13. Mushkin, I. & Solomon, S., 2017. "The Inverse Contagion Problem (ICP) vs," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 484(C), pages 516-531.
  14. Martin Hohnisch & Sabine Pittnauer & Dietrich Stauffer, 2003. "Percolation-Based Model of New-Product Diffusion with Macroscopic Feedback Effects," Papers cond-mat/0308358, arXiv.org.
  15. Groot, Robert D., 2005. "Lévy distribution and long correlation times in supermarket sales," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 353(C), pages 501-514.
  16. E. Samanidou & E. Zschischang & D. Stauffer & T. Lux, 2001. "Microscopic Models of Financial Markets," Papers cond-mat/0110354, arXiv.org.
  17. Serge Galam, 2007. "From 2000 Bush–Gore to 2006 Italian elections: voting at fifty-fifty and the contrarian effect," Quality & Quantity: International Journal of Methodology, Springer, vol. 41(4), pages 579-589, August.
  18. G. Yaari & D. Stauffer & S. Solomon, 2008. "Intermittency and Localization," Papers 0802.3541, arXiv.org, revised Mar 2008.
  19. Kindler, A. & Solomon, S. & Stauffer, D., 2013. "Peer-to-peer and mass communication effect on opinion shifts," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(4), pages 785-796.
  20. Simona Cantono & Gerald Silverberg, 2008. "A percolation model of eco-innovation diffusion: the relationship between diffusion, learning economies and subsidies," MERIT Working Papers 2008-025, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
  21. Iwao Maeda & David deGraw & Michiharu Kitano & Hiroyasu Matsushima & Hiroki Sakaji & Kiyoshi Izumi & Atsuo Kato, 2020. "Deep Reinforcement Learning in Agent Based Financial Market Simulation," JRFM, MDPI, vol. 13(4), pages 1-17, April.
  22. Ganjeh-Ghazvini, Mostafa & Masihi, Mohsen & Ghaedi, Mojtaba, 2014. "Random walk–percolation-based modeling of two-phase flow in porous media: Breakthrough time and net to gross ratio estimation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 406(C), pages 214-221.
  23. Jiang, Yonglei & Timmermans, Harry J.P. & Yu, Bin, 2018. "Relocation of manufacturing industry from the perspective of transport accessibility – An application of percolation theory," Transport Policy, Elsevier, vol. 63(C), pages 10-29.
  24. Paolo Zeppini & Koen Frenken & Roland Kupers, 2013. "Threshold models of technological transitions," Working Papers 13-06, Eindhoven Center for Innovation Studies, revised Aug 2013.
  25. Dror Kenett & Shlomo Havlin, 2015. "Network science: a useful tool in economics and finance," Mind & Society: Cognitive Studies in Economics and Social Sciences, Springer;Fondazione Rosselli, vol. 14(2), pages 155-167, November.
  26. Paolo Zeppini & Koen Frenken, 2015. "Networks, Percolation, and Demand," Department of Economics Working Papers 38/15, University of Bath, Department of Economics.
  27. Paolo Zeppini & Koen Frenken & Luis R. Izquierdo, 2013. "Innovation diffusion in networks: the microeconomics of percolation," Working Papers 13-02, Eindhoven Center for Innovation Studies, revised Feb 2013.
  28. Weisbuch, Gerard, 2000. "Environment and institutions: a complex dynamical systems approach," Ecological Economics, Elsevier, vol. 35(3), pages 381-391, December.
  29. Solomon Sorin & Golo Natasa, 2013. "Minsky Financial Instability, Interscale Feedback, Percolation and Marshall–Walras Disequilibrium," Accounting, Economics, and Law: A Convivium, De Gruyter, vol. 3(3), pages 167-260, October.
  30. Vollaro, Michele & Galioto, Francesco & Viaggi, Davide, 2017. "The circular economy and agriculture: new opportunities for re-using Phosphorus as fertilizer," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 5(3), February.
  31. Fibich, Gadi & Levin, Tomer, 2020. "Percolation of new products," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
  32. Karolina Safarzyńska & Jeroen Bergh, 2010. "Evolutionary models in economics: a survey of methods and building blocks," Journal of Evolutionary Economics, Springer, vol. 20(3), pages 329-373, June.
  33. Galam, Serge, 2003. "Modelling rumors: the no plane Pentagon French hoax case," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 320(C), pages 571-580.
  34. Derrida, Bernard, 2021. "Working with Dietrich Stauffer in the ’80s and ’90s," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 565(C).
  35. Albert Faber & Koen Frenken, 2008. "Models in evolutionary economics and environmental policy: Towards an evolutionary environmental economics," Innovation Studies Utrecht (ISU) working paper series 08-15, Utrecht University, Department of Innovation Studies, revised Apr 2008.
  36. Schweitzer, Frank & Zimmermann, Jörg & Mühlenbein, Heinz, 2002. "Coordination of decisions in a spatial agent model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 303(1), pages 189-216.
  37. Sebastiano A. Delre & Wander Jager & Marco A. Janssen, 2007. "Diffusion dynamics in small-world networks with heterogeneous consumers," Computational and Mathematical Organization Theory, Springer, vol. 13(2), pages 185-202, June.
  38. R. D. Groot, 2004. "Levy distribution and long correlation times in supermarket sales," Papers cond-mat/0412163, arXiv.org.
  39. Cantono Simona, 2012. "A percolation model of multi-technology diffusion: information feedbacks, learning economies and subsidy policy," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201205, University of Turin.
  40. Paolo Zeppini & Koen Frenken & Roland Kupers, 2013. "The complexity of transitions," Working Papers 13-04, Eindhoven Center for Innovation Studies, revised Mar 2013.
  41. Francesco Pasimeni & Tommaso Ciarli, 2018. "Diffusion of Shared Goods in Consumer Coalitions. An Agent-Based Model," SPRU Working Paper Series 2018-24, SPRU - Science Policy Research Unit, University of Sussex Business School.
  42. Hohnisch, Martin & Pittnauer, Sabine & Stauffer, Dietrich, 2006. "A Percolation-Based Model Explaining Delayed Take-Off in New-Product Diffusion," Bonn Econ Discussion Papers 9/2006, University of Bonn, Bonn Graduate School of Economics (BGSE).
  43. Alex Kindler & Michael Golosovsky & Sorin Solomon, 2019. "Early prediction of the outcome of Kickstarter campaigns: is the success due to virality?," Palgrave Communications, Palgrave Macmillan, vol. 5(1), pages 1-6, December.
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