Our research group actively publishes in leading conferences and journals in the fields of Network Science, Data Science, and Algorithmic Fairness. Below is a selection of our recent publications.
De Vink, E., Takes, F. W., and Saxena, A. (2025). Measuring Group Fairness in Community Detection. PLoS One. Nov 11;20(11):e0336212. DOI
Caroline Brasileiro Pena, David J.P. O’Sullivan, Padraig MacCarron, and Akrati Saxena (2025). Dynamics of temporal influence on polarised networks. Accepted in Plos One Journal.
Mariana Macedo, and Saxena, A (2025). Gender biases in online communication: A case study of Soccer. Accepted in Applied Intelligence Journal.
Rrubaa Panchendrarajan, Harsh Saxena, and Akrati Saxena. Social Media and Academia: How Gender Influences Online Scholarly Discourse, Accepted at the CsoNet 2025 Conference .
Kirtidev Mohapatra, Harsh Vardhan Singh, Rishi Ranjan Singh, and Akrati Saxena. Fairness-aware Analysis of Centrality Measures in Social Networks, Accepted at the CsoNet 2025 Conference
Wu, L., Saxena, A. Traag, V., 2024. Geography in Scientific Practice and Country Biases, In the 28th International Conference on Science, Technology and Innovation Indicators (STI2024). DOI
de Groot, A., Fletcher, G., van Maanen, G., Saxena, A., Serebrenik, A. and Taylor, L. (2024). A canon is a blunt force instrument: data science, canons, and generative frictions. In Dialogues in Data Power (pp. 186-214). Bristol University Press.
Saxena, A., Fletcher, G. and Pechenizkiy, M. (2024). Fairsna: Algorithmic fairness in social network analysis. ACM Computing Surveys. DOI
Saxena, A., Pei, Y. and Pechenizkiy, M., 2024. Fal-cur: fair active learning using uncertainty and representativeness on fair clustering. Expert Systems with Applications, 242, p.122842. DOI
de Vink, E. and Saxena, A., 2024, December. Group Fairness Metrics for Community Detection Methods in Social Networks. In International Conference on Complex Networks and Their Applications (pp. 43-56). Cham: Springer Nature Switzerland. DOI
Fajri, R., Saxena, A., Pei, Y., and Pechenizkiy, M. (2023). FAL-CUR: Fair Active Learning using Uncertainty and Representativeness on Fair Clustering. Expert Systems With Applications Journal. DOI
Saxena, A., Gutiérrez Bierbooms, C. and Pechenizkiy, M. (2023). Fairness-aware fake news mitigation using counter information propagation. Applied Intelligence. DOI
Liang, Z., Li, Y., Huang, T., Saxena, A., Pei, Y. and Pechenizkiy, M., 2023, November. Heterophily-Based Graph Neural Network for Imbalanced Classification. In International Conference on Complex Networks and Their Applications (pp. 74-86). Cham: Springer Nature Switzerland. DOI
Pandey, P.K., Arya, A. and Saxena, A., 2023. X-distribution: Retraceable Power-Law Exponent of Complex Networks. ACM Transactions on Knowledge Discovery from Data, 18(5), pp.1-12.DOI
Saxena, A., Sethiya, N., Saini, J.S., Gupta, Y. and Iyengar, S.R.S.(2023). Social network analysis of the caste-based reservation system in India. In CSoNet 2022 Proceedings (pp. 203-214). Springer. DOI
Arya, A., Pandey, P. K., Saxena, A. (2023). Balanced and Unbalanced Triangle Count in Signed Networks. Accepted in IEEE Transactions on Knowledge and Data Engineering.DOI
Saxena, A., Fletcher, G. and Pechenizkiy, M. (2022). Nodesim: Node similarity based network embedding for diverse link prediction. EPJ Data Science, 11(1), 1-22. DOI
Doewes, A., Saxena, A., Pei, Y., & Pechenizkiy, M. (2022). Individual Fairness Evaluation for Automated Essay Scoring System. EDM 2022, 206–216. DOI
Saxena, A., Fletcher, G., & Pechenizkiy, M. (2021). HM-EIICT: Fairness-aware link prediction in complex networks using community information. Journal of Combinatorial Optimization, 1-18. DOI
Saxena, A., Fletcher, G., & Pechenizkiy, M. (2021). How Fair is Fairness-aware Representative Ranking?. In Companion Proceedings of the Web Conference 2021 (pp. 161-165). DOI