András Rung
From WikiPapers
| András Rung (Alternative names for this author) | |
| Affiliation | Unknown [+] |
| Country | Unknown [+] |
| Co-authors | András Kornai, Hoda Sepehri Rad, János Kertész, János Török, Róbert Sumi, Taha Yasseri |
| Website | Unknown [+] |
| Statistics | |
| Authorship | Publications (4), datasets (0), tools (1) |
| Citations | Total (6), average (1.5), median (1.5), max (2), min (1) |
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András Rung is an author.
Publications
Only those publications related to wikis are shown here.| Title | Keyword(s) | Published in | Language | DateThis property is a special property in this wiki. | Abstract | R | C |
|---|---|---|---|---|---|---|---|
| Dynamics of Conflicts in Wikipedia | PLoS ONE | English | June 2012 | In this work we study the dynamical features of editorial wars in Wikipedia (WP). Based on our previously established algorithm, we build up samples of controversial and peaceful articles and analyze the temporal characteristics of the activity in these samples. On short time scales, we show that there is a clear correspondence between conflict and burstiness of activity patterns, and that memory effects play an important role in controversies. On long time scales, we identify three distinct developmental patterns for the overall behavior of the articles. We are able to distinguish cases eventually leading to consensus from those cases where a compromise is far from achievable. Finally, we analyze discussion networks and conclude that edit wars are mainly fought by few editors only. | 44 | 1 | |
| Dynamics of conflicts in Wikipedia | To appear in PLoS ONE | English | 2012 | In this work we study the dynamical features of editorial wars in Wikipedia (WP). Based on our previously established algorithm, we build up samples of controversial and peaceful articles and analyze the temporal characteristics of the activity in these samples. On short time scales, we show that there is a clear correspondence between conflict and burstiness of activity patterns, and that memory effects play an important role in controversies. On long time scales, we identify three distinct developmental patterns for the overall behavior of the articles. We are able to distinguish cases eventually leading to consensus from those cases where a compromise is far from achievable. Finally, we analyze discussion networks and conclude that edit wars are mainly fought by few editors only. | 0 | 1 | |
| Characterization and prediction of Wikipedia edit wars | Wikipedia Collaboration Conflict Classification |
WebSci Conference | English | 2011 | We present a new, eficient method for automatically detecting conict cases and test it on five diferent language Wikipedias. We discuss how the number of edits, reverts, the length of discussions deviate in such pages from those following the general workow. | 4 | 2 |
| Edit wars in Wikipedia | IEEE Third International Conference on Social Computing | English | 2011 | We present a new, efficient method for automatically detecting severe conflicts `edit wars' in Wikipedia and evaluate this method on six different language WPs. We discuss how the number of edits, reverts, the length of discussions, the burstiness of edits and reverts deviate in such pages from those following the general workflow, and argue that earlier work has significantly over-estimated the contentiousness of the Wikipedia editing process. | 9 | 2 |
