Behavioral experiments on biased voting in networks Export

@article{citeulike:3936843, abstract = {10.1073/pnas.0808147106 Many distributed collective decision-making processes must balance diverse individual preferences with a desire for collective unity. We report here on an extensive session of behavioral experiments on biased voting in networks of individuals. In each of 81 experiments, 36 human subjects arranged in a virtual network were financially motivated to reach global consensus to one of two opposing choices. No payments were made unless the entire population reached a unanimous decision within 1 min, but different subjects were paid more for consensus to one choice or the other, and subjects could view only the current choices of their network neighbors, thus creating tensions between private incentives and preferences, global unity, and network structure. Along with analyses of how collective and individual performance vary with network structure and incentives generally, we find that there are well-studied network topologies in which the minority preference consistently wins globally; that the presence of ” extremist” individuals, or the awareness of opposing incentives, reliably improve collective performance; and that certain behavioral characteristics of individual subjects, such as ” stubbornness,” are strongly correlated with earnings.}, author = {Kearns, Michael and Judd, Stephen and Tan, Jinsong and Wortman, Jennifer}, citeulike-article-id = {3936843}, citeulike-linkout-0 = {http://dx.doi.org/10.1073/pnas.0808147106}, citeulike-linkout-1 = {http://www.pnas.org/content/0808147106v1//.abstract}, citeulike-linkout-2 = {http://www.pnas.org/content/0808147106v1//.full.pdf}, citeulike-linkout-3 = {http://view.ncbi.nlm.nih.gov/pubmed/19168630}, citeulike-linkout-4 = {http://www.hubmed.org/display.cgi?uids=19168630}, day = {23}, doi = {10.1073/pnas.0808147106}, journal = {Proceedings of the National Academy of Sciences}, keywords = {incentive, model, network, pnas}, month = {January}, posted-at = {2009-02-08 00:28:13}, priority = {2}, title = {Behavioral experiments on biased voting in networks}, url = {http://dx.doi.org/10.1073/pnas.0808147106}, year = {2009} }

TY - JOUR ID - citeulike:3936843 L3 - citeulike-article-id:3936843 N2 - 10.1073/pnas.0808147106 Many distributed collective decision-making processes must balance diverse individual preferences with a desire for collective unity. We report here on an extensive session of behavioral experiments on biased voting in networks of individuals. In each of 81 experiments, 36 human subjects arranged in a virtual network were financially motivated to reach global consensus to one of two opposing choices. No payments were made unless the entire population reached a unanimous decision within 1 min, but different subjects were paid more for consensus to one choice or the other, and subjects could view only the current choices of their network neighbors, thus creating tensions between private incentives and preferences, global unity, and network structure. Along with analyses of how collective and individual performance vary with network structure and incentives generally, we find that there are well-studied network topologies in which the minority preference consistently wins globally; that the presence of “extremist” individuals, or the awareness of opposing incentives, reliably improve collective performance; and that certain behavioral characteristics of individual subjects, such as “stubbornness,” are strongly correlated with earnings. JF - Proceedings of the National Academy of Sciences TI - Behavioral experiments on biased voting in networks KW - incentive KW - model KW - network KW - pnas AU - Kearns, Michael AU - Judd, Stephen AU - Tan, Jinsong AU - Wortman, Jennifer PY - 2009/01/23/ UR - http://dx.doi.org/10.1073/pnas.0808147106 ER -