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Michal Jankowski-Lorek
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2010 – 2019
- 2018
- [j5]Oskar Jarczyk, Szymon Jaroszewicz, Adam Wierzbicki, Kamil Pawlak, Michal Jankowski-Lorek:
Surgical teams on GitHub: Modeling performance of GitHub project development processes. Inf. Softw. Technol. 100: 32-46 (2018) - [r2]Michal Jankowski-Lorek, Lukasz Ostrowski, Piotr Turek, Adam Wierzbicki:
Wikipedia Knowledge Community Modeling. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - 2016
- [j4]Michal Jankowski-Lorek, Szymon Jaroszewicz, Lukasz Ostrowski, Adam Wierzbicki:
Verifying social network models of Wikipedia knowledge community. Inf. Sci. 339: 158-174 (2016) - 2015
- [j3]Krzysztof Lorek, Jacek Suehiro-Wicinski, Michal Jankowski-Lorek, Amit Gupta:
Automated Credibility Assessment on Twitter. Comput. Sci. 16(2): 157-168 (2015) - [j2]Michal Jankowski-Lorek, Kazimierz Zielinski:
Document controversy classification based on the Wikipedia category structure. Comput. Sci. 16(2): 185-198 (2015) - 2014
- [c4]Michal Jankowski-Lorek, Radoslaw Nielek, Adam Wierzbicki, Kazimierz Zielinski:
Predicting Controversy of Wikipedia Articles Using the Article Feedback Tool. SocialCom 2014: 22:1-22:7 - [r1]Michal Jankowski-Lorek, Lukasz Ostrowski, Piotr Turek, Adam Wierzbicki:
Wikipedia Knowledge Community Modeling. Encyclopedia of Social Network Analysis and Mining 2014: 2410-2420 - 2013
- [j1]Michal Jankowski-Lorek, Lukasz Ostrowski, Piotr Turek, Adam Wierzbicki:
Modeling Wikipedia admin elections using multidimensional behavioral social networks. Soc. Netw. Anal. Min. 3(4): 787-801 (2013) - [c3]Leszek Bukowski, Michal Jankowski-Lorek, Szymon Jaroszewicz, Marcin Sydow:
What Makes a Good Team of Wikipedia Editors? A Preliminary Statistical Analysis. SocInfo Workshops 2013: 14-28 - [c2]Radoslaw Nielek, Aleksander Wawer, Michal Jankowski-Lorek, Adam Wierzbicki:
Temporal, Cultural and Thematic Aspects of Web Credibility. SocInfo 2013: 419-428 - [c1]Michal Kakol, Michal Jankowski-Lorek, Katarzyna Abramczuk, Adam Wierzbicki, Michele Catasta:
On the subjectivity and bias of web content credibility evaluations. WWW (Companion Volume) 2013: 1131-1136
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