Hungary

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Authors

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Name	Affiliation	Website
Taha Yasseri	Budapest University of Technology and Economics	http://www.phy.bme.hu/~yasseri/

Publications

This is a list of publications by authors of this country.

Title	Author(s)	Keyword(s)	Published in	Language	DateThis property is a special property in this wiki.	Abstract	R	C
Dynamics of Conflicts in Wikipedia	Taha Yasseri Róbert Sumi András Rung András Kornai János Kertész		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
A practical approach to language complexity: a Wikipedia case study	Taha Yasseri András Kornai János Kertész		Submitted to PLoS ONE	English	2012	In this paper we present statistical analysis of English texts from Wikipedia (WP). We try to address the issue of language complexity empirically by comparing samples of the main English WP (Main) and the simple English WP (Simple). Simple is supposed to use a more simplified language with a limited vocabulary, and editors are explicitly requested to follow this guideline, yet in practice the vocabulary richness of both samples are at the same level. However, detailed analysis of longer units (n-grams rather than words alone) shows that the language of Simple is indeed less complex than that of Main. Comparing the two language varieties by the Gunning readability index supports this conclusion. We also report on the topical dependence of language complexity, e.g. that the language is more advanced in conceptual articles compared to person-based (biographical) and object-based articles. Finally, we investigate the relation between conflict and language complexity by analysing the content of the talk pages associated to controversial and peacefully developing articles, concluding that controversy has the effect of reducing language complexity.	0	0
Circadian patterns of Wikipedia editorial activity: A demographic analysis	Taha Yasseri Róbert Sumi János Kertész	Wikipedia Editorial activity Editors demography Circadian patterns	PLoS ONE	English	2012	Wikipedia (WP) as a collaborative, dynamical system of humans is an appropriate subject of social studies. Each single action of the members of this society, i.e. editors, is well recorded and accessible. Using the cumulative data of 34 Wikipedias in different languages, we try to characterize and find the universalities and differences in temporal activity patterns of editors. Based on this data, we estimate the geographical distribution of editors for each WP in the globe. Furthermore we also clarify the differences among different groups of WPs, which originate in the variance of cultural and social features of the communities of editors.	10	1
Dynamics of conflicts in Wikipedia	Taha Yasseri Róbert Sumi András Rung András Kornai János Kertész		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
Early Prediction of Movie Box Office Success based on Wikipedia Activity Big Data	Márton Mestyán Taha Yasseri János Kertész	Prediction Big Data		English	2012	Use of socially generated "big data" to access information about collective states of the minds in human societies becomes a new paradigm in the emerging field of computational social science. One of the natural application of this would be prediction of the society's reaction to a new product in the sense of popularity and adoption rate. However, bridging between "real time monitoring" and "early predicting" remains as a big challenge. Here, we report on an endeavor to build a minimalistic predictive model for the financial success of movies based on collective activity data of online users. We show that the popularity of a movie could be predicted well in advance by measuring and analyzing the activity level of editors and viewers of the corresponding entry to the movie in Wikipedia, the well-known online encyclopedia.	0	0
Characterization and prediction of Wikipedia edit wars	Róbert Sumi Taha Yasseri András Rung András Kornai János Kertész	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	Róbert Sumi Taha Yasseri András Rung András Kornai János Kertész		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