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Gábor Vattay
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Publications
- 2021
- [j8]Dániel Kondor, Nikola Bulatovic, József Stéger, István Csabai, Gábor Vattay:
The Rich Still Get Richer: Empirical Comparison of Preferential Attachment via Linking Statistics in Bitcoin and Ethereum. Frontiers Blockchain 4: 668510 (2021) - [i23]Dániel Kondor, Nikola Bulatovic, József Stéger, István Csabai, Gábor Vattay:
The rich still get richer: Empirical comparison of preferential attachment via linking statistics in Bitcoin and Ethereum. CoRR abs/2102.12064 (2021) - 2019
- [i22]Eszter Bokányi, Dániel Kondor, Gábor Vattay:
Scaling in Words on Twitter. CoRR abs/1903.04329 (2019) - 2017
- [c23]Zsófia Kallus, Dániel Kondor, József Stéger, István Csabai, Eszter Bokányi, Gábor Vattay:
Video Pandemics: Worldwide Viral Spreading of Psy's Gangnam Style Video. ICT Innovations 2017: 3-12 - [i18]Zsófia Kallus, Dániel Kondor, József Stéger, István Csabai, Eszter Bokányi, Gábor Vattay:
Video Pandemics: Worldwide Viral Spreading of Psy's Gangnam Style Video. CoRR abs/1707.04460 (2017) - 2016
- [i15]Eszter Bokányi, Dániel Kondor, László Dobos, Tamás Sebok, József Stéger, István Csabai, Gábor Vattay:
Race, Religion and the City: Twitter Word Frequency Patterns Reveal Dominant Demographic Dimensions in the United States. CoRR abs/1605.02951 (2016) - [i14]Péter L. Juhász, József Stéger, Dániel Kondor, Gábor Vattay:
A Bayesian Approach to Identify Bitcoin Users. CoRR abs/1612.06747 (2016) - 2014
- [c22]Dániel Kondor, László Dobos, István Csabai, András Bodor, Gábor Vattay, Tamás Budavári, Alexander S. Szalay:
Efficient classification of billions of points into complex geographic regions using hierarchical triangular mesh. SSDBM 2014: 4:1-4:4 - [i13]Dániel Kondor, László Dobos, István Csabai, András Bodor, Gábor Vattay, Tamás Budavári, Alexander S. Szalay:
Efficient classification of billions of points into complex geographic regions using hierarchical triangular mesh. CoRR abs/1410.0709 (2014) - [i12]Dániel Kondor, István Csabai, János Szüle, Márton Pósfai, Gábor Vattay:
Inferring the interplay of network structure and market effects in Bitcoin. CoRR abs/1412.4042 (2014) - 2013
- [c20]László Dobos, János Szüle, Tamás Bodnár, Tamás Hanyecz, Tamás Sebok, Dániel Kondor, Zsófia Kallus, József Stéger, István Csabai, Gábor Vattay:
A multi-terabyte relational database for geo-tagged social network data. CogInfoCom 2013: 289-294 - [c19]Dániel Kondor, István Csabai, László Dobos, János Szüle, Norbert Barankai, Tamás Hanyecz, Tamas Sebok, Zsófia Kallus, Gábor Vattay:
Using Robust PCA to estimate regional characteristics of language use from geo-tagged Twitter messages. CogInfoCom 2013: 393-398 - [c18]Zsófia Kallus, Norbert Barankai, Dániel Kondor, László Dobos, Tamás Hanyecz, János Szüle, József Stéger, Tamás Sebok, Gábor Vattay, István Csabai:
Regional properties of global communication as reflected in aggregated Twitter data. CogInfoCom 2013: 429-434 - [i11]Dániel Kondor, Márton Pósfai, István Csabai, Gábor Vattay:
Do the rich get richer? An empirical analysis of the BitCoin transaction network. CoRR abs/1308.3892 (2013) - [i10]Dániel Kondor, Péter Mátray, István Csabai, Gábor Vattay:
Measuring the dimension of partially embedded networks. CoRR abs/1308.6075 (2013) - [i9]László Dobos, János Szüle, Tamás Bodnár, Tamás Hanyecz, Tamas Sebok, Dániel Kondor, Zsófia Kallus, József Stéger, István Csabai, Gábor Vattay:
A multi-terabyte relational database for geo-tagged social network data. CoRR abs/1311.0841 (2013) - [i8]Dániel Kondor, István Csabai, László Dobos, János Szüle, Norbert Barankai, Tamás Hanyecz, Tamas Sebok, Zsófia Kallus, Gábor Vattay:
Using Robust PCA to estimate regional characteristics of language use from geo-tagged Twitter messages. CoRR abs/1311.1169 (2013) - [i7]Zsófia Kallus, Norbert Barankai, Dániel Kondor, László Dobos, Tamás Hanyecz, János Szüle, József Stéger, Tamas Sebok, Gábor Vattay, István Csabai:
Regional properties of global communication as reflected in aggregated Twitter data. CoRR abs/1311.1484 (2013) - 2012
- [j4]Áron Szabó, Gábor Vattay, Dániel Kondor:
A cell signaling model as a trainable neural nanonetwork. Nano Commun. Networks 3(1): 57-64 (2012)
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