Individual-driven versus interaction-driven burstiness in human dynamics: The case of Wikipedia edit history

Abstract

The origin of non-Poissonian or bursty temporal patterns observed in various datasets for human social dynamics has been extensively studied, yet its understanding still remains incomplete. Considering the fact that humans are social beings, a fundamental question arises: Is the bursty human dynamics dominated by individual characteristics or by interaction between individuals? In this paper we address this question by analyzing the Wikipedia edit history to see how spontaneous individual editors are in initiating bursty periods of editing, i.e., individual-driven burstiness, and to what extent such editors' behaviors are driven by interaction with other editors in those periods, i.e., interaction-driven burstiness. We quantify the degree of initiative (DoI) of an editor of interest in each Wikipedia article by using the statistics of bursty periods containing the editor's edits. The integrated value of the DoI over all relevant timescales reveals which is dominant between individual-driven and interaction-driven burstiness. We empirically find that this value tends to be larger for weaker temporal correlations in the editor's editing behavior and/or stronger editorial correlations. These empirical findings are successfully confirmed by deriving an analytic form of the DoI from a model capturing the essential features of the edit sequence. Thus our approach provides a deeper insight into the origin and underlying mechanisms of bursts in human social dynamics.

arXiv comment12 pages, 5 figures

References in corpus (25)

• Temporal Networks
• The origin of bursts and heavy tails in human dynamics
• Small But Slow World: How Network Topology and Burstiness Slow Down Spreading
• Computational Mechanics: Pattern and Prediction, Structure and Simplicity
• A Poissonian explanation for heavy-tails in e-mail communication
• The dynamical strength of social ties in information spreading
• Dynamics of conflicts in Wikipedia
• Circadian pattern and burstiness in mobile phone communication
• Bursty Human Dynamics
• Human Activity in the Web
• From seconds to months: multi-scale dynamics of mobile telephone calls
• An Algorithm for Pattern Discovery in Time Series
• Correlated dynamics in egocentric communication networks
• Measuring burstiness for finite event sequences
• Unfolding large-scale online collaborative human dynamics
• Spatiotemporal correlations of handset-based service usages
• Trend prediction in temporal bipartite networks: the case of Movielens, Netflix, and Digg
• Modeling temporal networks with bursty activity patterns of nodes and links
• Gender and collaboration patterns in a temporal scientific authorship network
• Contextual analysis framework for bursty dynamics
• Modeling correlated bursts by the bursty-get-burstier mechanism
• Stationarity of the inter-event power-law distributions
• Early onset of structural inequality in the formation of collaborative knowledge, Wikipedia
• Intellectual interchanges in the history of the massive online open-editing encyclopedia, Wikipedia
• Burst-tree decomposition of time series reveals the structure of temporal correlations

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