Elena Zheleva

According to our database, Elena Zheleva authored at least 48 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MOTIV: Visual Exploration of Moral Framing in Social Media.

Andrew Wentzel, Lauren Levine, Vipul Dhariwal, Zarah Fatemi, Abari Bhattacharya, Barbara Di Eugenio, Andrew Rojecki, Elena Zheleva, G. Elisabeta Marai

CoRR, 2024

Bridging or Breaking: Impact of Intergroup Interactions on Religious Polarization.

Rochana Chaturvedi, Sugat Chaturvedi, Elena Zheleva

CoRR, 2024

2023

Leveraging heterogeneous spillover effects in maximizing contextual bandit rewards.

Ahmed Sayeed Faruk, Elena Zheleva

CoRR, 2023

A Lens to Pandemic Stay at Home Attitudes.

Andrew Wentzel, Lauren Levine, Vipul Dhariwal, Zahra Fatemi, Barbara Di Eugenio, Andrew Rojecki, Elena Zheleva, G. Elisabeta Marai

CoRR, 2023

Mitigating Cold-start Forecasting using Cold Causal Demand Forecasting Model.

Zahra Fatemi, Minh Huynh, Elena Zheleva, Zamir Syed, Xiaojun Di

CoRR, 2023

Contagion Effect Estimation Using Proximal Embeddings.

Zahra Fatemi, Elena Zheleva

CoRR, 2023

Inferring Causal Effects Under Heterogeneous Peer Influence.

Shishir Adhikari, Elena Zheleva

CoRR, 2023

Data-Driven Estimation of Heterogeneous Treatment Effects.

Christopher Tran, Keith Burghardt, Kristina Lerman, Elena Zheleva

CoRR, 2023

Learning Relational Causal Models with Cycles through Relational Acyclification.

Ragib Ahsan, David Arbour, Elena Zheleva

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

RGRecSys: A Toolkit for Robustness Evaluation of Recommender Systems.

Zohreh Ovaisi, Shelby Heinecke, Jia Li, Yongfeng Zhang, Elena Zheleva, Caiming Xiong

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Non-parametric inference of relational dependence.

Ragib Ahsan, Zahra Fatemi, David Arbour, Elena Zheleva

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Improving Data-driven Heterogeneous Treatment Effect Estimation Under Structure Uncertainty.

Christopher Tran, Elena Zheleva

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Understanding Stay-at-home Attitudes through Framing Analysis of Tweets.

Zahra Fatemi, Abari Bhattacharya, Andrew Wentzel, Vipul Dhariwal, Lauren Levine, Andrew Rojecki, G. Elisabeta Marai, Barbara Di Eugenio, Elena Zheleva

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

Relational Causal Models with Cycles: Representation and Reasoning.

Ragib Ahsan, David Arbour, Elena Zheleva

Proceedings of the 1st Conference on Causal Learning and Reasoning, 2022

Heterogeneous Peer Effects in the Linear Threshold Model.

Christopher Tran, Elena Zheleva

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Variable-lag Granger Causality and Transfer Entropy for Time Series Analysis.

Chainarong Amornbunchornvej, Elena Zheleva, Tanya Y. Berger-Wolf

ACM Trans. Knowl. Discov. Data, 2021

Designing Promotional Incentives to Embrace Social Sharing: Evidence from Field and Online Experiments.

Tianshu Sun, Siva Viswanathan, Ni Huang, Elena Zheleva

MIS Q., 2021

Creating Social Contagion Through Firm-Mediated Message Design: Evidence from a Randomized Field Experiment.

Tianshu Sun, Siva Viswanathan, Elena Zheleva

Manag. Sci., 2021

Heterogeneous Effects of Software Patches in a Multiplayer Online Battle Arena Game.

Yuzi He, Christopher Tran, Julie Jiang, Keith Burghardt, Emilio Ferrara, Elena Zheleva, Kristina Lerman

CoRR, 2021

Helping Users Automatically Find and Manage Sensitive, Expendable Files in Cloud Storage.

Mohammad Taha Khan, Christopher Tran, Shubham Singh, Dimitri Vasilkov, Chris Kanich, Blase Ur, Elena Zheleva

Proceedings of the 30th USENIX Security Symposium, 2021

Propensity-Independent Bias Recovery in Offline Learning-to-Rank Systems.

Zohreh Ovaisi, Kathryn Vasilaky, Elena Zheleva

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Causal Inference from Network Data.

Elena Zheleva, David Arbour

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Understanding the Dynamics between Vaping and Cannabis Legalization Using Twitter Opinions.

Shishir Adhikari, Akshay Uppal, Robin Mermelstein, Tanya Y. Berger-Wolf, Elena Zheleva

Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

Heterogeneous Effects of Software Patches in aMultiplayer Online Battle Arena Game.

Yuzi He, Christopher Tran, Julie Jiang, Keith Burghardt, Emilio Ferrara, Elena Zheleva, Kristina Lerman

Proceedings of the FDG'21: The 16th International Conference on the Foundations of Digital Games 2021, 2021

2020

Correcting for Selection Bias in Learning-to-rank Systems.

Zohreh Ovaisi, Ragib Ahsan, Yifan Zhang, Kathryn Vasilaky, Elena Zheleva

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Minimizing Interference and Selection Bias in Network Experiment Design.

Zahra Fatemi, Elena Zheleva

Proceedings of the Fourteenth International AAAI Conference on Web and Social Media, 2020

Detecting and understanding moral biases in news.

Usman Shahid, Barbara Di Eugenio, Andrew Rojecki, Elena Zheleva

Proceedings of the First Joint Workshop on Narrative Understanding, Storylines, and Events, 2020

2019

Incentivized Social Sharing: Characteristics and Optimization.

Joseph J. Pfeiffer III, Elena Zheleva

Proceedings of the Influence and Behavior Analysis in Social Networks and Social Media, 2019

Motivating Effective Mobile App Adoptions: Evidence from a Large-Scale Randomized Field Experiment.

Tianshu Sun, Lanfei Shi, Siva Viswanathan, Elena Zheleva

Inf. Syst. Res., 2019

Designing Promotion Incentive to Embrace Social Sharing: Evidence from Field and Lab Experiments.

Tianshu Sun, Siva Viswanathan, Nina Huang, Elena Zheleva

Proceedings of the 40th International Conference on Information Systems, 2019

Paths to Empathy: Heterogeneous Effects of Reading Personal Stories Online.

Mahnaz Roshanaei, Christopher Tran, Sylvia Morelli, Cornelia Caragea, Elena Zheleva

Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytics, 2019

Variable-Lag Granger Causality for Time Series Analysis.

Chainarong Amornbunchornvej, Elena Zheleva, Tanya Y. Berger-Wolf

Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytics, 2019

Moving Beyond Set-It-And-Forget-It Privacy Settings on Social Media.

Mainack Mondal, Günce Su Yilmaz, Noah Hirsch, Mohammad Taha Khan, Michael Tang, Christopher Tran, Chris Kanich, Blase Ur, Elena Zheleva

Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, 2019

Learning Triggers for Heterogeneous Treatment Effects.

Christopher Tran, Elena Zheleva

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2017

Directed Edge Recommender System.

Ios Kotsogiannis, Elena Zheleva, Ashwin Machanavajjhala

Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Optimizing the Effectiveness of Incentivized Social Sharing.

Joseph J. Pfeiffer III, Elena Zheleva

Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017

2014

Understanding the Effects of Message Design on Firm-Mediated Online Social Interactions: A Randomized Field Experiment.

Tianshu Sun, Siva Viswanathan, Elena Zheleva

Proceedings of the International Conference on Information Systems, 2014

Impact of Message Design on Online Interactions: An Empirical Investigation.

Tianshu Sun, Siva Viswanathan, Elena Zheleva

Proceedings of the Sixteenth International Conference on Electronic Commerce, 2014

2012

Privacy in Social Networks

Elena Zheleva, Evimaria Terzi, Lise Getoor

Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers, ISBN: 978-3-031-01901-2, 2012

2011

Privacy in Social Networks: A Survey.

Elena Zheleva, Lise Getoor

Proceedings of the Social Network Data Analytics, 2011

2010

Statistical models of music-listening sessions in social media.

Elena Zheleva, John Guiver, Eduarda Mendes Rodrigues, Natasa Milic-Frayling

Proceedings of the 19th International Conference on World Wide Web, 2010

2009

To join or not to join: the illusion of privacy in social networks with mixed public and private user profiles.

Elena Zheleva, Lise Getoor

Proceedings of the 18th International Conference on World Wide Web, 2009

Co-evolution of social and affiliation networks.

Elena Zheleva, Hossam Sharara, Lise Getoor

Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

2008

Trusting spam reporters: A reporter-based reputation system for email filtering.

Elena Zheleva, Aleksander Kolcz, Lise Getoor

ACM Trans. Inf. Syst., 2008

Using Friendship Ties and Family Circles for Link Prediction.

Elena Zheleva, Lise Getoor, Jennifer Golbeck, Ugur Kuter

Proceedings of the Advances in Social Network Mining and Analysis, 2008

2007

Preserving the Privacy of Sensitive Relationships in Graph Data.

Elena Zheleva, Lise Getoor

Proceedings of the Privacy, 2007

Discovering interesting usage patterns in text collections: integrating text mining with visualization.

Anthony Don, Elena Zheleva, Machon Gregory, Sureyya Tarkan, Loretta Auvil, Tanya E. Clement, Ben Shneiderman, Catherine Plaisant

Proceedings of the Sixteenth ACM Conference on Information and Knowledge Management, 2007

2006

Fast Motif Search in Protein Sequence Databases.

Elena Zheleva, Abdullah N. Arslan

Proceedings of the Computer Science, 2006