%0 Book Section %1 statphys23_0350 %A Barabási, A.L. %A Mendes, J.F.F. %A Oliveira, J.G. %A Vázquez, A. %B Abstract Book of the XXIII IUPAP International Conference on Statistical Physics %C Genova, Italy %D 2007 %E Pietronero, Luciano %E Loreto, Vittorio %E Zapperi, Stefano %K dynamics human networks queueing statphys23 theory topic-11 %T Modeling human dynamics %U http://st23.statphys23.org/webservices/abstract/preview_pop.php?ID_PAPER=350 %X The temporal dynamics of certain human activities has been recently shown to deviate from the `classical' assumption that they could be well approximated by Poisson processes, which would otherwise mean that the timing of human activities would be characterized by regular patterns. Instead, it has been observed that the time between consecutive actions or the time that a task (a given person has to do) waits until execution are heterogeneously distributed. Following these observations, human behavior has been modeled has a decision-based queueing process: The list of tasks a person has to do is modeled as a priority queue, i.e. each element of the queue represents a task to which is attributed some priority, tasks being executed in order of decreasing priority. As a consequence, while the higher priority tasks are rapidly executed, those with low priority wait for a long time in the queue until execution, resulting in heterogeneous, power law distributed waiting times. Our current work, aims to generalize this framework to the situation where there is interaction between different queues, i.e. execution of a task in a given queue depends on what happens in the queues with which it interacts by means of some network. References: 1) A.-L. Barabási, Nature 435, 207 (2005).\\ 2) J. G. Oliveira and A.-L. Barabási, Nature 437, 1251 (2005).\\ 3) A. Vázquez et al., Phys. Rev. E 73, 036127 (2006).

@incollection{statphys23_0350, abstract = {The temporal dynamics of certain human activities has been recently shown to deviate from the `classical' assumption that they could be well approximated by Poisson processes, which would otherwise mean that the timing of human activities would be characterized by regular patterns. Instead, it has been observed that the time between consecutive actions or the time that a task (a given person has to do) waits until execution are heterogeneously distributed. Following these observations, human behavior has been modeled has a decision-based queueing process: The list of tasks a person has to do is modeled as a priority queue, i.e. each element of the queue represents a task to which is attributed some priority, tasks being executed in order of decreasing priority. As a consequence, while the higher priority tasks are rapidly executed, those with low priority wait for a long time in the queue until execution, resulting in heterogeneous, power law distributed waiting times. Our current work, aims to generalize this framework to the situation where there is interaction between different queues, i.e. execution of a task in a given queue depends on what happens in the queues with which it interacts by means of some network. References: 1) A.-L. Barab\'asi, Nature {\bf 435,} 207 (2005).\\ 2) J. G. Oliveira and A.-L. Barab\'asi, Nature {\bf 437,} 1251 (2005).\\ 3) A. V\'azquez {\it et al.}, Phys. Rev. E {\bf 73,} 036127 (2006).}, added-at = {2007-06-20T10:16:09.000+0200}, address = {Genova, Italy}, author = {Barab\'asi, A.L. and Mendes, J.F.F. and Oliveira, J.G. and V\'azquez, A.}, biburl = {https://www.bibsonomy.org/bibtex/2aba0c75731114e47700370a3cf20f47b/statphys23}, booktitle = {Abstract Book of the XXIII IUPAP International Conference on Statistical Physics}, editor = {Pietronero, Luciano and Loreto, Vittorio and Zapperi, Stefano}, interhash = {26058510c0fd3925cd233932b006b0ad}, intrahash = {aba0c75731114e47700370a3cf20f47b}, keywords = {dynamics human networks queueing statphys23 theory topic-11}, month = {9-13 July}, timestamp = {2007-06-20T10:16:17.000+0200}, title = {Modeling human dynamics}, url = {http://st23.statphys23.org/webservices/abstract/preview_pop.php?ID_PAPER=350}, year = 2007 }