Robust dynamic classes revealed by measuring the response function of a social system Export

@article{citeulike:3472051, abstract = {10.1073/pnas.0803685105 We study the relaxation response of a social system after endogenous and exogenous bursts of activity using the time series of daily views for nearly 5 million videos on YouTube. We find that most activity can be described accurately as a Poisson process. However, we also find hundreds of thousands of examples in which a burst of activity is followed by an ubiquitous power-law relaxation governing the timing of views. We find that these relaxation exponents cluster into three distinct classes and allow for the classification of collective human dynamics. This is consistent with an epidemic model on a social network containing two ingredients: a power-law distribution of waiting times between cause and action and an epidemic cascade of actions becoming the cause of future actions. This model is a conceptual extension of the fluctuation-dissipation theorem to social systems [Ruelle, D (2004) 57:48\^{a}€“53] and [Roehner BM, , (2004) 15:809\^{a}€“834], and provides a unique framework for the investigation of timing in complex systems.}, author = {Crane, Riley and Sornette, Didier}, citeulike-article-id = {3472051}, citeulike-linkout-0 = {http://dx.doi.org/10.1073/pnas.0803685105}, citeulike-linkout-1 = {http://www.pnas.org/content/105/41/15649.abstract}, citeulike-linkout-2 = {http://www.pnas.org/content/105/41/15649.full.pdf}, citeulike-linkout-3 = {http://view.ncbi.nlm.nih.gov/pubmed/18824681}, citeulike-linkout-4 = {http://www.hubmed.org/display.cgi?uids=18824681}, day = {14}, doi = {10.1073/pnas.0803685105}, journal = {Proceedings of the National Academy of Sciences}, keywords = {2008, pdf, statistics}, month = {October}, number = {41}, pages = {15649--15653}, posted-at = {2009-10-14 17:53:01}, priority = {2}, title = {Robust dynamic classes revealed by measuring the response function of a social system}, url = {http://dx.doi.org/10.1073/pnas.0803685105}, volume = {105}, year = {2008} }

TY - JOUR ID - citeulike:3472051 L3 - citeulike-article-id:3472051 N2 - 10.1073/pnas.0803685105 We study the relaxation response of a social system after endogenous and exogenous bursts of activity using the time series of daily views for nearly 5 million videos on YouTube. We find that most activity can be described accurately as a Poisson process. However, we also find hundreds of thousands of examples in which a burst of activity is followed by an ubiquitous power-law relaxation governing the timing of views. We find that these relaxation exponents cluster into three distinct classes and allow for the classification of collective human dynamics. This is consistent with an epidemic model on a social network containing two ingredients: a power-law distribution of waiting times between cause and action and an epidemic cascade of actions becoming the cause of future actions. This model is a conceptual extension of the fluctuation-dissipation theorem to social systems [Ruelle, D (2004) 57:48–53] and [Roehner BM, , (2004) 15:809–834], and provides a unique framework for the investigation of timing in complex systems. IS - 41 JF - Proceedings of the National Academy of Sciences EP - 15653 TI - Robust dynamic classes revealed by measuring the response function of a social system VL - 105 SP - 15649 KW - 2008 KW - pdf KW - statistics AU - Crane, Riley AU - Sornette, Didier PY - 2008/10/14/ UR - http://dx.doi.org/10.1073/pnas.0803685105 ER -