@incollection{statphys23_1114,
	title = {Modeling and solution of queue systems in human dynamics},
	address = {Genova, Italy},
	author = {J.S. Kim and B. Kahng and D. Kim},
	booktitle = {Abstract Book of the XXIII IUPAP International Conference on Statistical Physics},
	editor = {Luciano Pietronero and Vittorio Loreto and Stefano Zapperi},
	month = {9-13 July},
	url = {http://st23.statphys23.org/webservices/abstract/preview_pop.php?ID_PAPER=1114},
	year = {2007},
	biburl = {http://www.bibsonomy.org/bibtex/284edaaef7ed62123327451608b2db90a/statphys23},
	abstract = {The dynamics of queue has been intensively studied in the fields of computer sciences, massive manufacturing managements and so on. The traditional queue models are based on first-come-first-served protocol and the number of events coming into the system in a unit time is assumed to be well approximated by Poisson processes. On the other hand, the analysis of real human activity data such as e-mail corresponding logs and wireless communication archives shows that people process their tasks according to the priority-based decisions. Moreover, the number of input tasks follows a power law. Hence, here we introduce a generalized priority-based queue model whose number of input tasks is given by a power law. We present numerical solution of the model and compare it with a generalized Levy flight random walk problem.},
	keywords = {dynamics human law power priority protocol queue random statphys23 system topic-11 walk }
}