TY - JOUR T1 - Towards a Standard Sampling Methodology on Online Social Networks: Collecting Global Trends on Twitter JF - Applied Network Science Y1 - 2016 A1 - C. A. Piña-García A1 - Carlos Gershenson A1 - J. Mario Siqueiros-García VL - 1 UR - http://dx.doi.org/10.1007/s41109-016-0004-1 ER - TY - JOUR T1 - Towards Self-organizing Bureaucracies JF - International Journal of Public Information Systems Y1 - 2008 A1 - Carlos Gershenson AB - The goal of this paper is to contribute to eGovernment efforts, encouraging the use of self-organization as a method to improve the efficiency and adaptability of bureaucracies and similar social systems. Bureaucracies are described as networks of agents, where the main design principle is to reduce local "friction" to increase local and global "satisfaction". Following this principle, solutions are proposed for improving communication within bureaucracies, sensing public satisfaction, dynamic modification of hierarchies, and contextualization of procedures. Each of these reduces friction between agents (internal or external), increasing the efficiency of bureaucracies. Current technologies can be applied for this end. "Random agent networks" (RANs), novel computational models, are introduced to illustrate the benefits of self-organizing bureaucracies. Simulations show that only few changes are required to reach near-optimal performance, potentially adapting quickly and effectively to shifts in demand. VL - 2008 UR - http://www.ijpis.net/issues/no1_2008/no1_2008_p1.htm ER - TY - CHAP T1 - Towards a General Methodology for Designing Self-Organizing Systems T2 - Complexity, Science and Society Y1 - 2007 A1 - Carlos Gershenson ED - Jan Bogg ED - Robert Geyer JF - Complexity, Science and Society PB - Radcliffe Publishing CY - Oxford ER -