Roland Molontay

Orcid: 0000-0002-0666-5279

According to our database1, Roland Molontay authored at least 26 papers between 2016 and 2024.

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Bibliography

2024
Topicality boosts popularity: a comparative analysis of NYT articles and Reddit memes.
Soc. Netw. Anal. Min., December, 2024

Interpretable Dropout Prediction: Towards XAI-Based Personalized Intervention.
Int. J. Artif. Intell. Educ., June, 2024

Tournament schedules and incentives in a double round-robin tournament with four teams.
Int. Trans. Oper. Res., May, 2024

Color-avoiding percolation and branching processes.
J. Appl. Probab., 2024

Decoding Memes: A Comparative Study of Machine Learning Models for Template Identification.
CoRR, 2024

2023
Correction: Towards a better understanding of the characteristics of fractal networks.
Appl. Netw. Sci., December, 2023

Towards a better understanding of the characteristics of fractal networks.
Appl. Netw. Sci., December, 2023

2022
Network classification-based structural analysis of real networks and their model-generated counterparts.
Netw. Sci., 2022

Student Dataset from Tecnologico de Monterrey in Mexico to Predict Dropout in Higher Education.
Data, 2022

Investigating the Origins of Fractality Based on Two Novel Fractal Network Models.
CoRR, 2022

2021
Comparing the effectiveness of two remedial mathematics courses using modern regression discontinuity techniques.
Interact. Learn. Environ., 2021

Comparative analysis of box-covering algorithms for fractal networks.
Appl. Netw. Sci., 2021

Dank or not? Analyzing and predicting the popularity of memes on Reddit.
Appl. Netw. Sci., 2021

2020
Characterizing Curriculum Prerequisite Networks by a Student Flow Approach.
IEEE Trans. Learn. Technol., 2020

Copula-Based Anomaly Scoring and Localization for Large-Scale, High-Dimensional Continuous Data.
ACM Trans. Intell. Syst. Technol., 2020

Twenty Years of Network Science: A Bibliographic and Co-authorship Network Analysis.
CoRR, 2020

Interpretable Deep Learning for University Dropout Prediction.
Proceedings of the SIGITE '20: The 21st Annual Conference on Information Technology Education, 2020

2019
Transfinite fractal dimension of trees and hierarchical scale-free graphs.
J. Complex Networks, 2019

On the Complexity of Color-Avoiding Site and Bond Percolation.
Proceedings of the SOFSEM 2019: Theory and Practice of Computer Science, 2019

On the structural properties of social networks and their measurement-calibrated synthetic counterparts.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

Two decades of network science: as seen through the co-authorship network of network scientists.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

2018
Data-driven Analysis of Complex Networks and their Model-generated Counterparts.
CoRR, 2018

Modified box dimension of trees and hierarchical scale-free graphs.
CoRR, 2018

Visualizing Student Flows to Track Retention and Graduation Rates.
Proceedings of the 22nd International Conference Information Visualisation, 2018

2017
Markovian Queue with Garbage Collection.
Proceedings of the Analytical and Stochastic Modelling Techniques and Applications, 2017

2016
Fingerprinting and Reconstruction of Functionals of Discrete Time Markov Chains.
Proceedings of the Analytical and Stochastic Modelling Techniques and Applications, 2016


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