'Association for the Advancement of Artificial Intelligence (AAAI)'
Abstract
In this communication we take advantage of the global covering character of Wikipedia dataset to analyze the dependence of the usual coefficients used to measure burstiness respect to language. Analyzing separately the patterns for single editors over several pages, we show several characteristics of the super-editors in the WP written in English, Spanish, French and Portuguese. We report for the first time the Burstiness and Memory effect coefficients, separately for the 4 WP’s, showing similitudes and differences for all the users respect to the super-editors, the exponent for their averaged inter-event activity and finally some statistical traces for their averaged monthly activity
