Proceedings of the 9th International Symposium on Open Collaboration 2013
DOI: 10.1145/2491055.2491068
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Temporal analysis of activity patterns of editors in collaborative mapping project of OpenStreetMap

Abstract: In the recent years Wikis have become an attractive platform for social studies of the human behaviour. Containing millions records of edits across the globe, collaborative systems such as Wikipedia have allowed researchers to gain a better understanding of editors participation and their activity patterns. However, contributions made to Geo-wikis -wikibased collaborative mapping projects-differ from systems such as Wikipedia in a fundamental way due to spatial dimension of the content that limits the contribu… Show more

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Cited by 13 publications
(12 citation statements)
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“…Similarly, the temporal pattern of highly active contributors has a disproportionate impact on the temporal patterns of data collection activities as a whole. Thus, the sleeping and working patterns that can be observed within the contributed information will be influenced by the practices of high contributors (Yasseri et al 2013).…”
Section: Participation Inequality -What Do We Know?mentioning
confidence: 99%
“…Similarly, the temporal pattern of highly active contributors has a disproportionate impact on the temporal patterns of data collection activities as a whole. Thus, the sleeping and working patterns that can be observed within the contributed information will be influenced by the practices of high contributors (Yasseri et al 2013).…”
Section: Participation Inequality -What Do We Know?mentioning
confidence: 99%
“…Their time for participation in general is also changing. Contributors' mapping activities recently shifted from afternoon to evening (Yasseri & Quattrone, 2013). However, their passions for contribution do not last long.…”
Section: Related Workmentioning
confidence: 99%
“…Temporal patterns of activity have been studied for different online platforms. For example, in Yasseri et al (2013), the authors look at differences between editing patterns on OpenStreetMap, which is a geo-wiki, for two different cities (London and Rome). Circadian patterns of edits for the two cities have been compared to each other and to that of Wikipedia edits.…”
Section: Previous Workmentioning
confidence: 99%
“…The daily rhythms that humans follow are visible in the digital records that are left in the wake of human online activity. Population-level and system-level daily rhythms can be observed in time variation of activity in Youtube, Twitter and Slashdot, and in frequency of edits in Wikipedia and OpenStreetMap (Gill et al, 2007;Kaltenbrunner et al, 2008;Yasseri et al, 2012Yasseri et al, , 2013. They are also seen in the frequency of mobile telephone calls (Jo et al, 2012;Krings et al, 2012), and in traces of human mobility derived from mobile phone data (Song et al, 2010;Ahas et al, 2010;Louail et al, 2014).…”
Section: Introductionmentioning
confidence: 99%