[56] Gershenson, C. (2011) Epidemiolog´ıa y las redes sociales. Cirug´ıa y Cirujanos , 79 , 199–200. [57] Gershenson, C. (2011) Self-organization leads to supraoptimal performance in public transportation systems. PLoS ONE , 6 , e21469. [58] Gershenson, C. (2011) The sigma profile: A formal tool to study organization and its evolution at multiple scales. Complexity , 16 , 37–44. [59] Gershenson, C. (2012) Guiding the self-organization of random Boolean networks. Theory in Biosciences , 131 , 181–191. [60] Gershenson, C. (2012) The implications of interactions for science and philosophy. Foundations of Science , Early View . [61] Gershenson, C. (2012) Self-organizing urban transportation systems. Portugali, J., Meyer, H., Stolk, E., and Tan, E. (eds.), Complexity Theories of Cities Have Come of Age: An Overview with Implications to Urban Planning and Design , pp. 269–279, Springer. [62] Gershenson, C. and Fern´ andez, N. (2012) Complexity and information: Measuring emergence, self-organization, and homeostasis at multiple scales. Complexity , 18 , 29– 44. [63] Gershenson, C. and Heylighen, F. (2003) When can we call a system self-organizing? Banzhaf, W., Christaller, T., Dittrich, P., Kim, J. T., and Ziegler, J. (eds.), Advances in Artificial Life, 7th European Conference, ECAL 2003 LNAI 2801 , Berlin, pp. 606– 614, Springer. [64] Gershenson, C. and Heylighen, F. (2005) How can we think the complex? Richardson, K. (ed.), Managing Organizational Complexity: Philosophy, Theory and Application , chap. 3, pp. 47–61, Information Age Publishing. 32