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Below a list of selected papers.

Big Data & Machine Learning for Social Good

2024, Strategic Transferability in Poverty Map Inference [SDGs: 1, 3 , 11] (new)
Lisette Espín-Noboa, János Kertész, Márton Karsai.

2023, Interpreting Wealth Distribution via Poverty Map Inference using Multimodal Data [SDGs: 1, 3 , 11]
Lisette Espín-Noboa, János Kertész, Márton Karsai. In Proceedings of the ACM Web Conference 2023 (WWW ’23), April 30–May 04,2023, Austin, TX, USA.ACM, New York, NY, USA, 12 pages. 

2022, The Volume and Tone of Twitter Posts About Cannabis Use During Pregnancy [SDGs: 3]
Liam Cresswell, Lisette Espín-Noboa, Malia SQ Murphy, Serine Ramlawi, Mark C Walker, Márton Karsai, Daniel J Corsia. 

Fairness in Social Networks

2024, Increasing the visibility of minorities in Academia [SDGs: 5, 10, 16] (new)
Lisette Espín-Noboa et al.

2023, How Parenthood Policies and Support Networks Shape Career Paths in Academia [SDGs: 5, 8, 10, 16] (new)
Lisette Espín-Noboa et al.

2022, Notions of Network Fairness [SDGs: 5, 10, 16] (new)
Lisette Espín-Noboa et al.

2022, Perceptions of Network Fairness [SDGs: 5, 10, 16] (new)
Lisette Espín-Noboa et al.

The Influence of Ege Formation in Algorithms

2023, The Centrality of Minorities under Triadic Closure and Homophily (work-in-progress) [SDGs: 5, 10 , 16]
Jan Bachmann, Lisette Espín-Noboa, Samuel Martin-Gutierrez, Nicola Cinardi, and Fariba Karimi

2022, Inequality and Inequity in Network-based Ranking and Recommendation Algorithms [SDGs: 5, 10 , 16]
Lisette Espín-Noboa, Claudia Wagner, Markus Strohmaier, Fariba Karimi. 

2021, Explaining Classification Performance and Bias via Network Structure and Sampling Technique [SDGs: 5, 10 , 16]
Lisette Espín-Noboa, Fariba Karimi, Bruno Ribeiro, Kristina Lerman, Claudia Wagner. Applied Network Science, 2021. 

2018, Towards Quantifying Sampling Bias in Network Inference
Lisette Espín-Noboa, Claudia Wagner, Fariba Karimi and Kristina Lerman. In WWW ’18 Companion: The 2018 Web Conference Companion, April 23–27, 2018, Lyon, France. ACM, New York, NY, USA, 9 pages.

Edge Formation in Networks

2019, HopRank: How Semantic Structure Influences Teleportation in PageRank (A case study on BioPortal)
Lisette Espín-Noboa, Florian Lemmerich, Simon Walk, Markus Strohmaier and Mark A. Musen. In TheWebConf'19 Companion: The 2019 Web Conference Companion, May 13–17, 2019, San Francisco, CA, USA.

2017, JANUS: A Hypothesis-driven Bayesian Approach for Understanding Edge Formation in Attributed Multigraphs
Lisette Espín-Noboa, Florian Lemmerich, Markus Strohmaier and Philipp Singer. Applied Network Science, 2017.

2017, How Users Explore Ontologies on the Web: A Study of NCBO's BioPortal Usage Logs
Simon Walk, Lisette Espín-Noboa, Denis Helic, Markus Strohmaier and Mark A. Musen. In Proceedings of 26th International World Wide Web Conference WWW'17.
[pdf, arxiv] @ WWW'17

2016, Discovering and Characterizing Mobility Patterns in Urban Spaces: A Study of Manhattan Taxi Data
Lisette Espín-Noboa, Florian Lemmerich, Philipp Singer and Markus Strohmaier. In Proceedings of the 25th International Conference Companion on World Wide Web (pp. 537-542). International World Wide Web Conferences Steering Committee (WWW). Montreal, Canada, 2016 Apr 11.
[pdf] [slides] @ LocWeb - WWW'16

2015, Understanding How Users Edit Ontologies: Comparing Hypotheses About Four Real-World Projects
Simon Walk, Philipp Singer, Lisette Espín-Noboa, Tania Tudorache, Mark A. Musen and Markus Strohmaier. In The Semantic Web (pp. 551-568). Springer International Publishing (ISWC). Betlehem, Pennsylvania, USA, 2015 Oct 11.
[pdf] @ ISWC'15

NLP for Social Media

2015, Characterizing Information Diets of Social Media Users
Juhi Kulshrestha, Muhammad Bilal Zafar, Lisette Espín-Noboa , Krishna P. Gummadi, Saptarshi Ghosh. In Ninth International AAAI Conference on Web and Social Media (ICWSM). Oxford, UK, 2015 Apr 21. 
[pdf]  @ ICWSM'15