Stationarity of the inter-event power-law distributions

Résultats de recherche: Contribution à un journal/une revueArticle

Résumé

A number of human activities exhibit a bursty pattern, namely periods of very high activity that are followed by rest periods. Records of these processes generate time series of events whose inter-event times follow a probability distribution that displays a fat tail. The grounds for such phenomenon are not yet clearly understood. In the present work we use the freely available Wikipedia's editing records to unravel some features of this phenomenon. We show that even though the probability to start editing is conditioned by the circadian 24 hour cycle, the conditional probability for the time interval between successive edits at a given time of the day is independent from the latter. We confirm our findings with the activity of posting on the social network Twitter. Our results suggest that there is an intrinsic humankind scheduling pattern: after overcoming the encumbrance of starting an activity, there is a robust distribution of new related actions, which does not depend on the time of day at which
the activity started.
langueAnglais
Pages1-10
Nombre de pages10
journalPLoS ONE
Volume12
Numéro3
Les DOIs
étatPublié - 27 mars 2017

Empreinte digitale

social networks
probability distribution
Probability distributions
Time series
time series analysis
tail
Fats
Scheduling
lipids
Human Activities
Social Support

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    title = "Stationarity of the inter-event power-law distributions",
    abstract = "A number of human activities exhibit a bursty pattern, namely periods of very high activity that are followed by rest periods. Records of these processes generate time series of events whose inter-event times follow a probability distribution that displays a fat tail. The grounds for such phenomenon are not yet clearly understood. In the present work we use the freely available Wikipedia's editing records to unravel some features of this phenomenon. We show that even though the probability to start editing is conditioned by the circadian 24 hour cycle, the conditional probability for the time interval between successive edits at a given time of the day is independent from the latter. We confirm our findings with the activity of posting on the social network Twitter. Our results suggest that there is an intrinsic humankind scheduling pattern: after overcoming the encumbrance of starting an activity, there is a robust distribution of new related actions, which does not depend on the time of day at whichthe activity started.",
    keywords = "digital humanities, wikipedia, bursty behaviour",
    author = "{Gandica Lopez}, {Yerali Carolina} and J. Carvalho and {Sampaio Dos Aidos}, F. and Renaud Lambiotte and Timoteo Carletti",
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    Stationarity of the inter-event power-law distributions. / Gandica Lopez, Yerali Carolina; Carvalho, J.; Sampaio Dos Aidos, F.; Lambiotte, Renaud; Carletti, Timoteo.

    Dans: PLoS ONE, Vol 12, Numéro 3, 27.03.2017, p. 1-10.

    Résultats de recherche: Contribution à un journal/une revueArticle

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    T1 - Stationarity of the inter-event power-law distributions

    AU - Gandica Lopez,Yerali Carolina

    AU - Carvalho,J.

    AU - Sampaio Dos Aidos,F.

    AU - Lambiotte,Renaud

    AU - Carletti,Timoteo

    PY - 2017/3/27

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    AB - A number of human activities exhibit a bursty pattern, namely periods of very high activity that are followed by rest periods. Records of these processes generate time series of events whose inter-event times follow a probability distribution that displays a fat tail. The grounds for such phenomenon are not yet clearly understood. In the present work we use the freely available Wikipedia's editing records to unravel some features of this phenomenon. We show that even though the probability to start editing is conditioned by the circadian 24 hour cycle, the conditional probability for the time interval between successive edits at a given time of the day is independent from the latter. We confirm our findings with the activity of posting on the social network Twitter. Our results suggest that there is an intrinsic humankind scheduling pattern: after overcoming the encumbrance of starting an activity, there is a robust distribution of new related actions, which does not depend on the time of day at whichthe activity started.

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    KW - wikipedia

    KW - bursty behaviour

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