Publications | HSDSLab

Hálózattudomány

Topicality boosts popularity: a comparative analysis of NYT articles and Reddit memes

Barnes, K., Juhász, P., Nagy, M., & Molontay. R. (2024)

Social Network Analysis and Mining 14, 119, Springer Nature

BŐVEBBEN

Color-avoiding percolation and branching processes

Fekete, P., Molontay, R., Ráth, B., & Varga, K. (2024)

Journal of Applied Prorability, 1–25, Cambridge University Press

BŐVEBBEN

Progress in the valorization of biomass: a statistical perspective

Barabás, B., Fülöp, O., Nagy, M., & Pályi, G. (2024)

Journal of Mathematical Chemistry, 1-22, Springer

BŐVEBBEN

Color-avoiding connected spanning subgraphs with minimum number of edges

Pintér, J, Varga, K (2024)

Discrete Applied Mathematics 349, 25-43, Elsevier

BŐVEBBEN

Towards a better understanding of the characteristics of fractal networks

Zakar-Polyák, E., Nagy, M., & Molontay, R. (2023)

Applied Network Science, 8, 17, Springer

BŐVEBBEN

Investigating the origins of fractality based on two novel fractal network models

Zakar-Polyák, E., Nagy, M., & Molontay, R. (2023)

In Complex Networks XIII: Proceedings of the 13th Conference on Complex Networks, CompleNet 2022 (pp. 43-54)

BŐVEBBEN

Network classification-based structural analysis of real networks and their model-generated counterparts

Nagy, M. & Molontay, R. (2022)

Network Science 1-24

BŐVEBBEN

Comparative analysis of box-covering algorithms for fractal networks

Kovács, P.T., Nagy, M. & Molontay, R. (2021)

Applied Network Science 6, 73, Springer

BŐVEBBEN

Twenty Years of Network Science: A Bibliographic and Co-Authorship Network Analysis

Molontay, R., & Nagy, M. (2021)

In Big Data and Social Media Analytics (pp. 1-24). Springer, Cham

BŐVEBBEN

Dank or Not? – Analyzing and Predicting the Popularity of Memes on Reddit

Barnes, K., Riesenmy, T., Trinh, M. D., Lleshi, E., Balogh, N., & Molontay, R. (2021)

Applied Network Science, 6(21), Springer

BŐVEBBEN

Two Decades of Network Science: as seen through the co-authorship network of network scientists

Molontay, R., & Nagy, M. (2019)

In Proceedings of The 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, pp. 578-583

BŐVEBBEN

On the structural properties of social networks and their measurement-calibrated synthetic counterparts

Nagy, M., & Molontay, R. (2019)

In Proceedings of The 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, pp. 584-588

BŐVEBBEN

Transfinite fractal dimension of trees and hierarchical scale-free graphs

Komjáthy, J., Molontay, R., & Simon, K. (2019)

Journal of Complex Networks, 7(5), pp. 764-791

BŐVEBBEN

The Co-Authorship Network and Scientific Impact of László Lovász

Barabás B., Fülöp O., & Molontay R. (2019)

Journal of Combinatorial Mathematics and Combinatorial Computing, 108, pp. 187-192

BŐVEBBEN

On the Complexity of Color-Avoiding Site and Bond Percolation

Molontay, R., & Varga, K. (2019)

In Proceedings of the 45th International Conference on Current Trends in Theory and Practice of Computer Science, pp. 354-367, Springer

BŐVEBBEN

Impact of the Discovery of Fluorous Biphasic Systems on Chemistry: A Statistical and Network Analysis

Barabás, B., Fülöp, O., Molontay, R., & Pályi, G. (2017)

ACS Sustainable Chemistry & Engineering, 5(9), pp. 8108-8118, IEEE

BŐVEBBEN

Oktatási adattudomány

Using Machine Learning Methods To Develop Person-Centered Models Predicting STEM Major Choice

Nagy, M., Main, J., Molontay, R., & Griffith, A. (2023)

European Society for Engineering Education (SEFI)

BŐVEBBEN

Interpretable Dropout Prediction: Towards XAI-Based Personalized Intervention

Nagy, M., & Molontay, R. (2023)

International Journal of Artificial Intelligence in Education

BŐVEBBEN

How to improve the predictive validity of a composite admission score? A case study from Hungary

Molontay, R., & Nagy, M. (2022)

Assessment & Evaluation in Higher Education, 1-19

BŐVEBBEN

Assessing the Effects of a Reformed System of Student Evaluation of Teaching

Lukáts, G. D., Berezvai, Z., & Molontay, R. (2022)

Periodica Polytechnica Social and Management Sciences

BŐVEBBEN

Teaching Mathematics Online with Increased Empathy in the COVID-19 Pandemic

Fülöp, O., & Nagy, M. (2021)

Opus et Educatio 8(3) (pp. 297-303)

BŐVEBBEN

Traits versus Grades — The Incremental Predictive Power of Positive Psychological Factors over Pre-Enrollment Achievement Measures on Academic Performance

Séllei, B., Stumphauser, N., & Molontay, R. (2021)

Applied Sciences

BŐVEBBEN

Comprehensive Analysis of the Predictive Validity of University Entrance Score in Hungary

Nagy, M. & Molontay, R. (2021)

Assessment & Evaluation in Higher Education

BŐVEBBEN

A kollégiumi lét egyetemi teljesítményre gyakorolt hatásának vizsgálata

Zeleny, K., Molontay, R., & Szabó, M. (2021)

Statisztikai Szemle

BŐVEBBEN

Comparing the effectiveness of two remedial mathematics courses using modern regression discontinuity techniques

Baranyi, M. & Molontay, R. (2020)

Interactive Learning Environments

BŐVEBBEN

Interpretable Deep Learning for University Dropout Prediction

Baranyi, M., Nagy, M., & Molontay, R. (2020)

In Proceedings of the 21th Annual SIG Conference on Information Technology Education

BŐVEBBEN

Can Professors Buy Better Evaluation with Lenient Grading? - The Effect of Grade Inflation on Student Evaluation of Teaching

Berezvai, Z., Lukáts, G. D., & Molontay, R. (2020)

Assessment & Evaluation in Higher Education

BŐVEBBEN

Characterizing Curriculum Prerequisite Networks by a Student Flow Approach

Molontay, R., Horváth, N., Bergmann, J., Szekrényes, D., & Szabó, M. (2020)

IEEE Transactions on Learning Technologies

BŐVEBBEN

Kreditrendszerű képzések mintatanterveinek és előtanulmányi hálóinak elemzése a hazai matematika alapszakok példáján

Molontay, R., Horváth, N., Bergmann, J., Szekrényes, D., & Szabó, M. (2020)

Alkalmazott Matematikai Lapok, 37(1), pp. 9-45

BŐVEBBEN

Predicting Dropout Using High School and First-semester Academic Achievement Measures

Kiss, B., Nagy, M., Molontay, R., & Csabay, B. (2019)

In Proceedings of the 17th International Conference on Emerging eLearning Technologies and Applications, IEEE

BŐVEBBEN

Modeling Students' Academic Performance Using Bayesian Networks

Baranyi, M., Gál, K., Molontay, R., & Csabay, B. (2019)

In Proceedings of the 17th International Conference on Emerging eLearning Technologies and Applications, IEEE

BŐVEBBEN

A Web Application for Predicting Academic Performance and Identifying the Contributing Factors

Nagy, M., Molontay, R., & Szabó, M. (2019)

In Proceedings of The 47th SEFI Annual Conference, pp. 1794-1806

BŐVEBBEN

A pénzügyi ösztönzők hatása az egyetemi oktatók osztályozási gyakorlatára

Berezvai Z., Lukáts G., & Molontay R. (2019)

Közgazdasági Szemle, 66, pp. 733-750

BŐVEBBEN

Effect of Mathematics Remediation on Academic Achievements - a regression discontinuity approach

Baranyi, M., & Molontay, R. (2019)

In Proceedings of the International Symposium on Educational Technology, pp. 29-33, IEEE

BŐVEBBEN

Who are the Most Important ,,Suppliers’’ for Universities? - Ranking secondary schools based on their students' university performance

Horváth, N, Molontay, R., & Szabó, M. (2019)

In Proceedings of the 2nd Danube Conference: In search of excellence in higher education, pp. 133-143

BŐVEBBEN

Predicting Dropout in Higher Education based on Secondary School Performance

Nagy, M., & Molontay, R. (2018)

In Proceedings of the 22nd International Conference on Intelligent Engineering Systems, pp. 389-394, IEEE

BŐVEBBEN

Visualizing Student Flows to Track Retention and Graduation Rates

Horváth, M. D., Molontay, R., & Szabó, M. (2018)

In Proceedings of the 22nd International Conference on Information Visualisation pp. 338-343, IEEE

BŐVEBBEN

Adattudományi módszerek az orvostudományban

EASY-APP: An artificial intelligence model and application for early and easy prediction of severity in acute pancreatitis

Kui, B., Pintér, J., Molontay, R., Nagy, M., ... & Hungarian Pancreatic Study Group (2022)

Clinical and Translational Medicine, 12(6), e842

BŐVEBBEN

Early prediction of acute necrotizing pancreatitis by artificial intelligence: a prospective cohort-analysis of 2387 cases

Kiss, S., Pintér, J., Molontay, R., Nagy, M., ... & Szentesi, A (2022)

Scientific Reports, 12(1), 1-11

BŐVEBBEN

Intelligens monitorozás, állapotelőrejelzés és anomáliadetektálás

Tournament schedules and incentives in a double round-robin tournament with four teams

Csató, L., Molontay, R., & Pintér, J. (2023)

International Transactions in Operational Research

BŐVEBBEN

Copula-Based Anomaly Scoring of High-Dimensional Data with Application in Telecommunication Networks

Horváth, G., Kovács, E., Molontay, R., & Nováczki, S. (2020)

ACM Transactions on Intelligent Systems and Technology

BŐVEBBEN

Markovian Queue with Garbage Collection

Horváth, I., Finta, I., Kovács, F., Mészáros, A., Molontay, R., & Varga, K. (2017)

In Proceedings of the 24th International Conference on Analytical and Stochastic Modelling Techniques and Applications, Lecture Notes in Computer Science, 10378, pp. 109-144, Springer

BŐVEBBEN

Cross-Correlation Based Clustering and Dimension Reduction of Multivariate Time Series

Egri, A., Horváth, I., Kovács, F., Molontay, R., & Varga, K. (2017)

In Proceedings of the 21st International Conference on Intelligent Engineering Systems pp. 242-246, IEEE

BŐVEBBEN

Fingerprinting and Reconstruction of Functionals of Discrete Time Markov Chains

Egri, A., Horváth, I., Kovács, F., & Molontay, R. (2016)

In the proceedings 23rd International Conference on Analytical and Stochastic Modelling Techniques and Applications, Lecture Notes in Computer Science, 9845, pp. 140-154, Springer

BŐVEBBEN

Publikációk

Hálózattudomány

Topicality boosts popularity: a comparative analysis of NYT articles and Reddit memes

Color-avoiding percolation and branching processes

Progress in the valorization of biomass: a statistical perspective

Color-avoiding connected spanning subgraphs with minimum number of edges

Towards a better understanding of the characteristics of fractal networks

Investigating the origins of fractality based on two novel fractal network models

Network classification-based structural analysis of real networks and their model-generated counterparts

Comparative analysis of box-covering algorithms for fractal networks

Twenty Years of Network Science: A Bibliographic and Co-Authorship Network Analysis

Dank or Not? – Analyzing and Predicting the Popularity of Memes on Reddit

Two Decades of Network Science: as seen through the co-authorship network of network scientists

On the structural properties of social networks and their measurement-calibrated synthetic counterparts

Transfinite fractal dimension of trees and hierarchical scale-free graphs

The Co-Authorship Network and Scientific Impact of László Lovász

On the Complexity of Color-Avoiding Site and Bond Percolation

Impact of the Discovery of Fluorous Biphasic Systems on Chemistry: A Statistical and Network Analysis

Oktatási adattudomány

Using Machine Learning Methods To Develop Person-Centered Models Predicting STEM Major Choice

Interpretable Dropout Prediction: Towards XAI-Based Personalized Intervention

How to improve the predictive validity of a composite admission score? A case study from Hungary

Assessing the Effects of a Reformed System of Student Evaluation of Teaching

Teaching Mathematics Online with Increased Empathy in the COVID-19 Pandemic

Traits versus Grades — The Incremental Predictive Power of Positive Psychological Factors over Pre-Enrollment Achievement Measures on Academic Performance

Comprehensive Analysis of the Predictive Validity of University Entrance Score in Hungary

A kollégiumi lét egyetemi teljesítményre gyakorolt hatásának vizsgálata

Comparing the effectiveness of two remedial mathematics courses using modern regression discontinuity techniques

Interpretable Deep Learning for University Dropout Prediction

Can Professors Buy Better Evaluation with Lenient Grading? - The Effect of Grade Inflation on Student Evaluation of Teaching

Characterizing Curriculum Prerequisite Networks by a Student Flow Approach

Kreditrendszerű képzések mintatanterveinek és előtanulmányi hálóinak elemzése a hazai matematika alapszakok példáján

Predicting Dropout Using High School and First-semester Academic Achievement Measures

Modeling Students' Academic Performance Using Bayesian Networks

A Web Application for Predicting Academic Performance and Identifying the Contributing Factors

A pénzügyi ösztönzők hatása az egyetemi oktatók osztályozási gyakorlatára

Effect of Mathematics Remediation on Academic Achievements - a regression discontinuity approach

Who are the Most Important ,,Suppliers’’ for Universities? - Ranking secondary schools based on their students' university performance

Predicting Dropout in Higher Education based on Secondary School Performance

Visualizing Student Flows to Track Retention and Graduation Rates

Adattudományi módszerek az orvostudományban

EASY-APP: An artificial intelligence model and application for early and easy prediction of severity in acute pancreatitis

Early prediction of acute necrotizing pancreatitis by artificial intelligence: a prospective cohort-analysis of 2387 cases

Intelligens monitorozás, állapotelőrejelzés és anomáliadetektálás

Tournament schedules and incentives in a double round-robin tournament with four teams

Copula-Based Anomaly Scoring of High-Dimensional Data with Application in Telecommunication Networks

Markovian Queue with Garbage Collection

Cross-Correlation Based Clustering and Dimension Reduction of Multivariate Time Series

Fingerprinting and Reconstruction of Functionals of Discrete Time Markov Chains