BibSonomy :: bibtex  ::

tag user group author concept BibTeX key search:all search:andreab
A blue social bookmark and publication sharing system.
tags · relations · groups · popular
help · blog · about
login · register
andreab's BibTeX entry:  

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

2008.
Authors: R. Crane and D. Sornette
URL: http://www.citebase.org/abstract?id=oai:arXiv.org:0803.2189
Description: [0803.2189v1] Robust dynamic classes revealed by measuring the response function of a social system
Tags: dynamics fdt imported social video youtube
Abstract: 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, and provides a unique framework for the investigation of timing in complex systems.
| URL | BibTeX  
@misc{crane-2008,
title = {Robust dynamic classes revealed by measuring the response function of a social system},
author = {R. Crane and D. Sornette},
url = {http://www.citebase.org/abstract?id=oai:arXiv.org:0803.2189},
year = {2008},
description = {[0803.2189v1] Robust dynamic classes revealed by measuring the response function of a social system},
abstract = { 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, and provides a unique framework for the investigation of timing in complex systems.},
keywords = {dynamics fdt imported social video youtube }
}