Groupe de Physique Statistique

Equipe 106, Institut Jean Lamour

                     
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Séminaire de groupe

Temporal characteristics of human dynamics in a virtual world
Olesya Mryglod
ICMP Lviv
jeudi 14 mars 2013 , 10h25
Salle de séminaire du groupe de Physique Statistique

Modern computational social science incorporates new approaches for studying society [1]. Using the so-called digital footprints (recorded data about human actions: e-mail activity, mobile calls, purchases with credit cards etc.), it is possible to quantitatively analyse the individual and collective behavior patterns in order to get some new knowledge about the general `rules' which govern the society. Playing online games offer an example of well-documented collective human activities [2]. <br> Here, we analyse the temporal characteristics of players behaviour in the free massive multiplayer online browser game. Having the data for more than 20,000 players, we build and analyse the distributions of interevent times between their consecutive actions on the amalgamated collective and individual levels. Some features of these distributions reflect the well-known real-life phenomena, such as circadian and weekly cycles or bursts of activity which follows the important events in the world. The peculiarities of different kinds of actions cause the differences between the corresponding interevent time distributions. The distinctions between dynamics of highly active players and those with just small number of actions are shown as well. <br> [1] Lazer D. et al., Computational Social Science, SCIENCE, 2009, vol. 323, 721-723. <br> [2] Szell M., Thurner S., Measuring social dynamics in a massive multiplayer online game, Social Networks, 2012, vol. 32, 313-329.



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