Akrati Saxena
Assistant professor
- Name
- Dr. A. Saxena
- Telephone
- +31 71 527 2727
- a.saxena@liacs.leidenuniv.nl
Akrati Saxena is an Assistant Professor in the Computational Network Science group at LIACS. She has worked extensively on Network Science and Data Science. Currently, she is working on Fairness in Network Science and Data Science, which mainly focuses on analyzing biases in existing systems, defining fairness constraints and fairness evaluation metrics, and designing fair algorithms.
Assistant professor
- Science
- Leiden Inst of Advanced Computer Science
- Saxena A., Fletcher G. & Pechenizkiy M. (2024), FairSNA: algorithmic fairness in Social Network Analysis, ACM Computing Surveys 56(8): 213.
- Setia S., Chhabra A., Arjun V.A. & Saxena A. (2024), Mediating effects of NLP-based parameters on the readability of crowdsourced wikipedia articles, Applied Intelligence 54: 4370-4391.
- Pandey P.K., Arya A. & Saxena A. (2024), X-distribution: retraceable power-law exponent of complex networks, ACM Transactions on Knowledge Discovery from Data 18(5): 117.
- Olivares E.S., Boekhout H.D., Saxena A. & Takes F.W. (2024), A framework for empirically evaluating pretrained link prediction models. Cherifi H., Rocha L.M., Cherifi C. & Donduran M. (Eds.), Complex networks & their applications. Complex Networks & Their Applications XII 28 November 2023 - 30 November 2023. Studies in Computational Intelligence no. 1141. Cham: Springer. 74-86.
- Liang Z., Li Y., Huang T., Saxena A., Pei Y. & Pechenizkiy M. (2024), Heterophily-based graph neural network for imbalanced classification. Cherifi H., Rocha L.M., Cherifi C. & Donduran M. (Eds.), Complex networks & their applications. Complex Networks & Their Applications XII 28 November 2023 - 30 November 2023. Studies in Computational Intelligence no. 1141. Cham: Springer. 74-86.
- Saxena A., Bierbooms C.G. & Pechenizkiy M. (2023), Fairness-aware fake news mitigation using counter information propagation, Applied Intelligence 53: 27483-27504.
- Arya A., Pandey P.K. & Saxena A. (2023), Balanced and unbalanced triangle count in signed networks, IEEE Transactions on Knowledge and Data Engineering 35(12): .
- Su Z., Helles R., Al-Laith A., Veilahti A., Saxena A. & Simonsen J.G. (2023), Privacy lost in online education: analysis of web tracking evolution. Yang X., Suhartanto H., Wang G., Wang B., Jiang J., Li B., Zhu H. & Cui N. (Eds.), Advanced Data Mining and Applications. ADMA 2023. Advanced Data Mining and Applications 21 August 2023 - 23 August 2023. Lecture Notes in Computer Science no. 14177. Cham: Spring. 440-455.
- Fajri R. M., Saxena A., Pei Y. & Pechenizkiy Y. (2023), FAL-CUR: Fair Active Learning using Uncertainty and Representativeness on Fair Clustering, Expert Systems with Applications 242: 122842.
- Kapadia P., Saxena A., Das B., Pei Y. & Pechenizkiy M. (2023), Co-attention based multi-contextual fake news detection. Pacheco D., Teixiera A.S., Barbosa H., Menezes R. & Mangioni G. (Eds.), Complex networks XIII. Springer proceedings in complexity. Complex Networks XIII: Proceedings of the 13th Conference on Complex Networks, CompleNet 2022 19 April 2022 - 22 April 2022. Cham: Springer. 83-95.
- Saxena A., Sethiya N., Saini J., Gupta Y. & Iyengar S. (2023), Social network analysis of the caste-based reservation system in India. Dinh T.N. & Li M. (Eds.), Computational data and social networks. CSoNet 2022. Computational Data and Social Networks 5 December 2022 - 7 December 2022 no. 13831. Cham: Springer. 203-214.
- Saxena A., Fletcher G. & Pechenizkiy M. (2022), NodeSim: node similarity based network embedding for diverse link prediction, EPJ Data Science 11(1): 24.
- Panchendrarajan R. & Saxena A. (2022), Topic-based influential user detection: a survey, Applied Intelligence 53(5): 5998–6024.
- Singh M., Iyengar S., Saxena A. & Kaur R. (2022), A bi-level assessment of Twitter data for election prediction: Delhi Assembly elections 2020. Laforest F. & Troncy R. (Eds.), WWW '22: Companion proceedings of the web conference 2022. Companion Proceedings of the Web Conference 25 April 2022 - 29 April 2022. New York, U.S.A.: Association for Computing Machinery . 930-935.
- Sharma T., Panchendrarajan R. & Saxena A. (2022), Characterisation of mental health conditions in social media using deep learning techniques. In: Hong T.P., Serrano-Estrada L., Saxena A. & Biswas A. (Eds.), Deep learning for social media data analytics . Studies in Big Data no. 113. Cham: Springer. 157-176.
- Panchendrarajan R. & Saxena A. (2022), Deep learning for code-mixed text mining in social media: a brief review. In: Hong T.P., Serrano-Estrada L., Saxena A. & Biswas A. (Eds.), Deep learning for social media data analytics . Studies in Big Data no. 113. Cham: Springer. 45-63.
- Arya A., Pandey P. & Saxena A. (2022), Node classification using deep learning in social networks. In: Hong TP., Serrano-Estrada L., Saxena A. & Biswas A. (Eds.), Deep learning for social media data analytics . Studies in Big Data no. 113. Cham: Springer. 3-26.
- Saxena A., Pei Y., Veldsink J., Ipenburg W. Van, Fletcher G. & Pechenizkiy M. (2022), The banking transactions dataset and its comparative analysis with scale-free networks. Coscia M., Cuzzocrea A. & Shu K. (Eds.), ASONAM '21: Proceedings of the 2021 IEEE/ACM international conference on advances in social networks analysis and mining. Advances in Social Networks Analysis and Mining 8 November 2021 - 11 November 2021. New York, U.S.A.: Association for Computing Machinery . 283-287.
- Doewes A., Saxena A., Pei Y. & Pechenizkiy M. (2022), Individual fairness evaluation for automated essay scoring system. Mitrovic A. & Bosch N. (Eds.), Proceedings of the 15th international conference on educational data mining, international educational data mining society. International Conference on Educational Data Mining 24 July 2022 - 27 February 2022 206-216.
- Miller R., Saxena A. & Gera R. (2022), A community-guided approach for dark network disruption, Military Operations Research 27(1): 23-44.
- Saxena A. & Reddy H. (2021), Users roles identification on online crowdsourced Q&A platforms and encyclopedias: a survey, Journal of Computational Social Science 5: 285-317.
- Malhotra D., Gera R. & Saxena A. (2021), Community detection using semilocal topological features and label propagation algorithm. Mohaisen D. & Jin R. (Eds.), Computational data and social networks: CSoNet 2021. International Conference on Computational Data and Social Networks 15 November 2021 - 17 November 2021. Cham: Springer. 255-266.
- Saxena A. (2021), Evolving models for dynamic weighted complex networks. In: Biswas A., Patgiri R. & Biswas B. (Eds.), Principles of social networking. Smart Innovation, Systems and Technologies no. 246. Singapore: Springer. 177-208.
- Saxena A., Saxena P. & Reddy H. (2021), Fake news detection techniques for social media. In: Biswas A., Patgiri R. & Biswas B. (Eds.), Principles of social networking: the new horizon and emerging challenges. Smart Innovation, Systems and Technologies. Singapore: Springer. 325-354.
- Saxena A., Saxena P. & Reddy H. (2021), Fake news propagation and mitigation techniques: a survey. In: Biswas A., Patgiri R. & Biswas B. (Eds.), Principles of social networking: the new horizon and emerging challenges. Smart Innovation, Systems and Technologies. Singapore: Springer. 355-386.
- Saxena A., Fletcher G. & Pechenizkiy M. (2021), HM-EIICT: fairness-aware link prediction in complex networks using community information, Journal of Combinatorial Optimization 44(4): 2853-2870.
- Saxena A., Fletcher G. & Pechenizkiy M. (2021), How fair is fairness-aware representative ranking?. Leskovec J., Grobelnik M., Najork M., Tang J. & Zia L. (Eds.), WWW '21: Companion proceedings of the web conference 2021. Companion Proceedings of the Web Conference 2021 19 April 2021 - 23 April 2021: Association for Computing Machinery . 161-165.
- Saxena A., Reddy H. & Saxena P. (2021), Introduction to sentiment analysis covering basics, tools, evaluation metrics, challenges, and applications. In: Biswas A., Patgiri R. & Biswas B. (Eds.), Principles of social networking. Smart Innovation, Systems and Technologies. Singapore: Springer. 249-277.
- Saxena A., Saxena H. & Gera R. (2021), k-TruthScore: fake news mitigation in the presence of strong user bias. Chellappan S., Choo K.-K.R. & Phan N. (Eds.), Computational data and social networks: CSoNet 2020. International Conference on Computational Data and Social Networks 11 December 2020 - 13 December 2020. Cham: Springer. 113-126.
- Saxena A., Reddy H. & Saxena P. (2021), Recent developments in sentiment analysis on social networks: techniques, datasets, and open issues. In: Biswas A., Patgiri R. & Biswas B. (Eds.), Principles of social networking: the new horizon and emerging challenges. Smart Innovation, Systems and Technologies. Singapore: Springer. 279-306.
- Saxena A., Hsu W., Lee M., Leong H.C., Ng L. & Teow L. (2020), Mitigating misinformation in online social network with Top-k debunkers and evolving user opinions. El Fallah Seghrouchni A., Sukthankar G., Liu T.Y. & Steen M. van (Eds.), WWW '20: Companion proceedings of the web conference 2020. Companion Proceedings of the Web Conference 20 April 2020 - 24 April 2020: Association for Computing Machinery . 363-370.
- Saxena A., Gera R. & Iyengar S.R.S. (2019), A heuristic approach to estimate nodes’ closeness rank using the properties of real world networks, Social Network Analysis and Mining 9(1): 3.
- Gupta Y., Iyengar S., Saxena A. & Das D. (2019), Modeling memetics using edge diversity, Social Network Analysis and Mining 9(1): 2.
- Bermudez I., Cleven D., Gera R., Kiser T.E., Newlin T. & Saxena A. (2019), Twitter response to Munich July 2016 attack: network analysis of influence, Frontiers in Big Data 2: 17.
- Miller R., Gera R., Saxena A. & Chakraborty T. (2018), Discovering and leveraging communities in dark multi-layered networks for network disruption, 2018 IEEE/ACM International conference on advances in social networks analysis and mining (ASONAM). IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 28 August 2018 - 31 August 2018: IEEE. 1152-1159.
- Saxena A., Gera R. & Iyengar S. R. S. (2018), Estimating degree rank in complex networks, Social Network Analysis and Mining 8(1): 42.
- Saxena A. & Iyengar S. (2018), K-shell rank analysis using local information. Chen X., Sen A., Li W. & Thai M. (Eds.), Computational data and social networks: CSoNet 2018. Computational Data and Social Networks 18 December 2018 - 20 December 2018 no. 11280: Springer. 198-210.
- Adeniji O., Cohick D., Castro V., Gera R. & Saxena A. (2017), A generative model for the layers of terrorist networks. Diesner J., Ferrari E. & Xu G. (Eds.), ASONAM '17: Proceedings of the 2017 IEEE/ACM international conference on advances in social networks analysis and mining. IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 31 July 2017 - 3 August 2017: Association for Computing Machinery . 690-697.
- Saxena A., Gera R. & Iyengar S. (2017), Fast estimation of closeness centrality ranking. Diesner J., Ferrari E. & Xu G. (Eds.), ASONAM '17: Proceedings of the 2017 IEEE/ACM international conference on advances in social networks analysis and mining. IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 31 July 2017 - 3 August 2017: Association for Computing Machinery . 80-85.
- Saxena A., Gera R. & Iyengar S. (2017), Observe locally rank globally. Diesner J., Ferrari E. & Xu G. (Eds.), ASONAM '17: Proceedings of the 2017 IEEE/ACM international conference on advances in social networks analysis and mining 2017. IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 31 July 2017 - 3 August 2017. New York, U.S.A.: Association for Computing Machinery. 139-144.
- Gera R., Miller R., Miranda Lopez M., Saxena A. & Warnke S. (2017), Three is the answer: combining relationships to analyze multilayered terrorist networks. Diesner J., Ferrari E. & Xu G. (Eds.), ASONAM '17: Proceedings of the 2017 IEEE/ACM international conference on advances in social networks analysis and mining. IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 31 July 2017 - 3 August 2017: Association for Computing Machinery . 868-875.
- Saxena A., Malik V. & Iyengar S. (2016), Estimating the degree centrality ranking, 2016 8th International conference on communication systems and networks (COMSNETS). International Conference on Communication Systems and Networks 5 January 2016 - 10 January 2016: IEEE. 978-979.
- Saxena A. & Iyengar S. (2016), Evolving models for meso-scale structures, 2016 8th International conference on communication systems and networks (COMSNETS). International Conference on Communication Systems and Networks 5 January 2016 - 10 January 2016: IEEE. 1-8.
- Gupta Y., Saxena A., Das D. & Iyengar S. (2016), Modeling memetics using edge diversity. Cherifi H., Gonçalves B., Menezes R. & Sinatra R. (Eds.), Complex networks VII. Complex Networks VII 23 March 2016 - 25 March 2016 no. 644. Cham: Springer. 187-198.
- Saxena A., Iyengar S. & Gupta Y. (2015), Understanding spreading patterns on social networks based on network topology. ASONAM, Paris. 25 August 2015 - 28 August 2015. [conference poster].
- Saxena A., Iyengar S.R.S. & Gupta Y. (2015), Understanding spreading patterns on social networks based on network topology. IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, Paris. 25 August 2015 - 28 August 2015. [conference poster].