@article {Pina2016,
	title = {Towards a Standard Sampling Methodology on Online Social Networks: Collecting Global Trends on Twitter},
	journal = {Applied Network Science},
	volume = {1},
	year = {2016},
	pages = {3},
	doi = {10.1007/s41109-016-0004-1},
	url = {http://dx.doi.org/10.1007/s41109-016-0004-1},
	author = {C. A. Pi{\~n}a-Garc{\'\i}a and Carlos Gershenson and J. Mario Siqueiros-Garc{\'\i}a}
}
@article {GershensonSOBs,
	title = {Towards Self-organizing Bureaucracies},
	journal = {International Journal of Public Information Systems},
	volume = {2008},
	number = {1},
	year = {2008},
	pages = {1{\textendash}24},
	abstract = {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.},
	url = {http://www.ijpis.net/issues/no1_2008/no1_2008_p1.htm},
	author = {Carlos Gershenson}
}
@inbook {Gershenson2007-SOS,
	title = {Towards a General Methodology for Designing Self-Organizing Systems},
	booktitle = {Complexity, Science and Society},
	year = {2007},
	publisher = {Radcliffe Publishing},
	organization = {Radcliffe Publishing},
	address = {Oxford},
	author = {Carlos Gershenson},
	editor = {Jan Bogg and Robert Geyer}
}
