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2020 – today
- 2023
[j6]András Bóta, Lauren Gardner
:
A Generalized Framework for the Estimation of Edge Infection Probabilities. Algorithms 16(8): 390 (2023)- 2021
- [j5]László Hajdu, Miklós Krész, András Bóta:
Evaluating the role of community detection in improving influence maximization heuristics. Soc. Netw. Anal. Min. 11(1): 91 (2021) - [c4]Alexander Bridgwater, András Bóta:
Identifying regions most likely to contribute to an epidemic outbreak in a human mobility network. SAIS 2021: 1-4
2010 – 2019
- 2018
- [c3]László Hajdu, András Bóta, Miklós Krész:
Community based influence maximization in the Independent Cascade Model. FedCSIS 2018: 237-243 - [i2]László Hajdu, András Bóta, Miklós Krész:
Discovering the hidden community structure of public transportation networks. CoRR abs/1801.03857 (2018) - 2017
- [i1]András Bóta, Lauren Gardner:
A generalized framework for the estimation of edge infection probabilities. CoRR abs/1706.07532 (2017) - 2015
- [b1]András Bóta:
Methods for the description and analysis of processes in real-life networks. University of Szeged, Hungary, 2015 - [j4]András Bóta, András Csernenszky, Lajos Gyõrffy, Gyula Kovács, Miklós Krész, András Pluhár:
Applications of the inverse infection problem on bank transaction networks. Central Eur. J. Oper. Res. 23(2): 345-356 (2015) - [j3]András Bóta, Miklós Krész:
A High Resolution Clique-based Overlapping Community Detection Algorithm for Small-world Networkss. Informatica (Slovenia) 39(2) (2015) - [c2]András Bóta, Miklós Krész, Bogdán Zaválnij:
Adaptations of the k-Means Algorithm to Community Detection in Parallel Environments. SYNASC 2015: 299-302 - 2014
- [c1]András Bóta, Miklós Krész, András Pluhár:
The inverse infection problem. FedCSIS 2014: 75-83 - 2013
- [j2]András Bóta, Miklós Krész, András Pluhár:
Approximations of the Generalized Cascade Model. Acta Cybern. 21(1): 37-51 (2013) - 2011
- [j1]András Bóta, Miklós Krész, András Pluhár:
Dynamic Communities and their Detection. Acta Cybern. 20(1): 35-52 (2011)
Coauthor Index
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