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40th Annual Hawaii International Conference on System Sciences (HICSS'07)
Big Island, Hawaii
January 03-January 06
ISBN: 0-7695-2755-8
ASCII Text
x 
 
Marko A. Rodriguez, Daniel J. Steinbock, Jennifer H. Watkins, Carlos Gershenson, Johan Bollen, Victor Grey, Brad deGraf, "Smartocracy: Social Networks for Collective Decision Making," Hawaii International Conference on System Sciences, pp. 90b, 40th Annual Hawaii International Conference on System Sciences (HICSS'07), 2007.
 
 
BibTex
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@article{ 10.1109/HICSS.2007.484,
author = {Marko A. Rodriguez and Daniel J. Steinbock and Jennifer H. Watkins and Carlos Gershenson and Johan Bollen and Victor Grey and Brad deGraf},
title = {Smartocracy: Social Networks for Collective Decision Making},
journal ={Hawaii International Conference on System Sciences},
volume = {0},
year = {2007},
issn = {1530-1605},
pages = {90b},
doi = {http://doi.ieeecomputersociety.org/10.1109/HICSS.2007.484},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Hawaii International Conference on System Sciences
TI - Smartocracy: Social Networks for Collective Decision Making
SN - 1530-1605
SP
EP
A1 - Marko A. Rodriguez,
A1 - Daniel J. Steinbock,
A1 - Jennifer H. Watkins,
A1 - Carlos Gershenson,
A1 - Johan Bollen,
A1 - Victor Grey,
A1 - Brad deGraf,
PY - 2007
KW - null
VL - 0
JA - Hawaii International Conference on System Sciences
ER -
 
Marko A. Rodriguez, Los Alamos National Laboratory, Los Alamos, New Mexico
Daniel J. Steinbock, Stanford University, Stanford, California
Jennifer H. Watkins, Los Alamos National Laboratory, Los Alamos, New Mexico
Carlos Gershenson, Vrije Universiteit Brussel, Brussel, Belgium
Johan Bollen, Los Alamos National Laboratory, Los Alamos, New Mexico
Victor Grey, 2idi Corporation, Concord, California 94524
Brad deGraf, Media Venture Collective, Mill Valley, California
Smartocracy is a social software system for collective decision making. The system is composed of a social network that links individuals to those they trust to make good decisions and a decision network that links individuals to their voted-on solutions. Such networks allow a variety of algorithms to convert the link choices made by individual participants into specific decision outcomes. Simply interpreting the linkages differently (e.g. ignoring trust links, or using them to weight an individual?s vote) provides a variety of outcomes fit for different decision making scenarios. This paper will discuss the Smartocracy network data structures, the suite of collective decision making algorithms currently supported, and the results of two collective decisions regarding the design of the system.
Citation:
Marko A. Rodriguez, Daniel J. Steinbock, Jennifer H. Watkins, Carlos Gershenson, Johan Bollen, Victor Grey, Brad deGraf, "Smartocracy: Social Networks for Collective Decision Making," hicss, pp.90b, 40th Annual Hawaii International Conference on System Sciences (HICSS'07), 2007
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