Publications
Papers:
2024
[c37] Dissecting users' needs for search result explanations. Accepted in CHI Conference on Human Factors in Computing Systems, 2024.
[pdf] (with P. Juneja, I. Zhang, A. Renner, J. Tetreault and A. Jaimes)
2023
[c36] Explainable Machine Learning for Public Policy: Use Cases, Gaps, and Research Directions. Accepted in Data & Policy Journal, 2023.
[pdf] (with K. Amarasinghe, K.T.Rodolfa, and R.Ghani)
[c35] Counterfactual Editing for Search Result Explanations. arXiv preprint arXiv:2301.10389, 2023
[pdf] (with Z. Xu, J. Tetreault, and A. Jaimes)
2022
[c34] Effect of Popularity Shocks on User Behavior. Accepted at International Conference on Weblogs and Social Media, ICWSM, 2022
[pdf][slides][video][webpage] (with O. Gurjar, T. Bansal, H. Jangid, P. Kumaraguru)
[c33] "This is Damn Slick" Estimating the Impact of Tweets on Open Source Project Popularity and New Contributors. Accepted at ICSE 2022. [pdf] [Best Research Paper]
(with H. Fang, J. Herbsleb and B. Vasilescu)
[c32] Glowing Experience or Bad Trip ? A Quantitative Analysis of User Reported Drug Experiences on Erowid.org. Accepted at International Conference on Weblogs and Social Media, ICWSM, 2022. [pdf]
(with Angelina Mooseder, Momin M. Malik, Earth Erowid, Sylvia Thyssen, Jürgen Pfeffer)
2021
[j3] Empirical observation of negligible fairness-accuracy trade-offs in machine learning for public policy. Published in Nature Machine Intelligence, Sept. 2021. [pdf]
(with K. Rodolfa, R. Ghani)
[j2] An Empirical Comparison of Bias Reduction Methods on Real-World Problems in High-Stake Policy Settings, Published in SIGKDD Explorations, 2021. [pdf]
(with K. Rodolfa, R. Ghani)
2020
[c31] Heard It through the Gitvine: An Empirical Study of Tool Diffusion across the npm Ecosystem, Accepted at ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE) 2020. [pdf][video]
(with A. Trockman, D. Armanios, C. Kästner, H. Miller and B. Vasilescu)
[c30] Provably Robust Node Classification via Low-Pass Message Passing, Accepted at IEEE International Conference on Data Mining (ICDM) 2020. [pdf]
(with Y. Wang, S. Liu, M. Yoon, W. Wang, C. Faloutsos, and B. Hooi)
[c29] Need for tweet. How open-source developers use Twitter to talk about their GitHub work, Accepted at Mining Software Repositories (MSR) 2020, co-located with ICSE 2020, South Korea. [pdf]
(with H. Fang, D. Klug, J. Herbsleb and B. Vasilescu)
[c28] Driving the Last Mile: Characterizing and Understanding Distracted Driving Posts on Social Networks, Accepted at International Conference on Weblogs and Social Media (ICWSM) 2020, Georgia, Atlanta, USA. [Link]
(with S. Singh, S. Shashank, D. Reddy, K. Juneja and P. Kumaraguru)
[c27] TellTail: Fast Scoring and Detection of Dense Subgraphs, Accepted at AAAI Conference on Artificial Intelligence (Oral Track) 2020, New York, USA. [pdf]
(with B. Hooi, K. Shin and C. Faloutsos)
2019
[c26] Characterizing and Detecting Livestreaming Chatbots, Accepted at IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM), 2019, Vancouver, Canada. [pdf][Code]
(with S. Jain, D. Niranjan, N. Shah and P. Kumaraguru)
[c25] Modeling Dwell Time Engagement on Visual Multimedia, Accepted at 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2019, Anchorage, Alaska. [pdf][Code]
(with N. Shah)
[c24] Learning On-the-Job to Re-rank Anomalies from Top-1 Feedback, Accepted at SIAM International Conference on Data Mining (SDM), 2019. [Best Research Paper Award] [Link]
(with L. Akoglu)
2018
[c23] TopSPA: Modeling Topical Information Diffusion over Microblog Networks, Accepted at 7th International Conference on Complex Network and Their Applications (Complex Networks), 2018, Cambridge, UK.
(with K. Dey, S. Nagar, S. Gupta and S. Kaushik)
[c22] xStream: Outlier Detection in Feature Evolving Data Streams, Accepted at 24th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2018, London, UK. [Link]
(with E. Manzoor and L. Akoglu)
[c21] Stop the KillFies! Using Deep Learning Models to Identify Dangerous Selfies, Accepted at International workshop on Modeling Social Media (MSM), co-located with TheWebConf (WWW) 2018. [pdf]
(with V. Nanda, N. Sachdeva, P. Kumaraguru and others)
2017
[c20] Many Faces of Link Fraud, Accepted at International Conference on Data Mining (ICDM) 2017, New Orleans, Louisiana, USA. [pdf]
(with N. Shah, A. Beutel and C. Faloutsos)
[c19] zooRank: Ranking Suspicious Activities in Time-Evolving Tensors, Accepted at European Conference on Machine Learning (ECML-PKDD) 2017, Skopje, Macedonia.[pdf][Code]
(with B. Hooi, K. Shin, C. Faloutsos and J. Pfeffer)
[c18] From Camera to Deathbed: Understanding Dangerous Selfies on Social Media, Accepted at International Conference on Weblogs and Social Media (ICWSM) 2017, Montreal, Canada. [Link][Covered by > 100 media sources (Media)]
(with Ponnurangam Kumaraguru, Niharika Sachdeva and others)
[c17] Model-based cluster analysis for Identifying Suspicious activity sequences in Software, Accepted at IWSPA 2017, Arizona, USA.
(with B. Shcmerl, D. Garlan, J. Camara and J. Pfeffer)
2016
[c16] Incorporating Side Information in Tensor Completion, Accepted at 25th International Conference on World Wide Web (WWW) 2016, Montreal, Canada. [pdf]
(with Vaishnavh Nagarajan, Kijung Shin, Naji Shajarisales)
[c15] Maximizing the Spread of Positive Influence by Deadline, Accepted at 25th International Conference on World Wide Web (WWW) 2016, Montreal, Canada [pdf]
(with Jürgen Pfeffer)
2015
[j1] A Novel and Model Independent Approach for Efficient Influence Maximization in Social Networks, Accepted in Journal on Social Network Analysis and Mining, 2015.
(with Ramasuri Narayanam)
[c14] Experience-aware Item Recommendation in Evolving Review Communities. Accepted at IEEE International Conference on Data Mining (ICDM), 2015. [pdf]
(with Subhabrata Mukherjee and Gerhard Weikum)
[c13] A Tempest in a Teacup? Analyzing Firestorms on Twitter. Accepted at IEEE/ACM Conference on Advances in Social Network Analysis and Mining (ASONAM), 2015. [Best Student Paper Award] [pdf]
(with Momin Malik and Jürgen Pfeffer)
[c12] Bias in Geotagged Tweets. Accepted at 1st Workshop on Standards and Practices in Large-Scale Social Media Research, co-located with International Conference on Weblogs and Social Media (ICWSM), 2015. [pdf]
(with Jürgen Pfeffer, Momin Malik and Constantine Nakos)
[c11] Detecting Insider Threats in Software Systems using Graph Models of Behavioral Paths. Accepted at Symposium and Bootcamp on the Science of Security (HOTSOS), 2015. [Poster]
(with Jürgen Pfeffer, T.J. Glazier, Bradley Schmerl and David Garlan)
[c10] Rich People Don't Have More Followers! Overcoming Social Inequality with Social Media. Runner-Up at SBP 2015 Data Challenge. International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction.
(with Jürgen Pfeffer, Momin Malik and Constantine Nakos)
2014
[c9] A Shapley value-based Approach to Determine Gatekeepers in Social Networks with Applications. Accepted at 21st European Conference on Artificial Intelligence (ECAI), 2014. Acceptance Rate - 28%. [pdf]
(with Ramasuri Narayanam, Oskar Skibiski, Tomasz Michalak and Michael Wooldridge)
[c8] Discovering Signature of Social Networks with Application to Community Detection, Accepted at 6th International Conference on COMmunication Systems and NETworkS (COMSNETS), 2014. Acceptance Rate- 17%
(with Ramasuri Narayanam and Dinesh Garg)
[c7] Analyzing and Measuring the Spread of Fake Content on Twitter during High Impact Events, Presented at 2nd Security and Privacy Symposium (held at IIT-Kanpur), 2014. [Best Poster Award]
(with Aditi Gupta, Ponnurangam Kumaraguru and Anupam Joshi)
2013
[c6] A Novel and Model Independent Approach for Efficient Influence Maximization in Social Networks, Accepted at the 14th International Conference on Web Information System Engineering (WISE), 2013.
(with Ramasuri Narayanam)
[c5] $1.00 per RT #BostonMarathon #PrayForBoston: Analyzing Fake Content on Twitter, Accepted at IEEE APWG eCrime Researchers Summit (eCRS), 2013
(with Aditi Gupta and Ponnurangam Kumaraguru)
[c4] Faking Sandy: Characterizing and Indentifying Fake Images on Twitter during Hurricane Sandy, Accepted at the 2nd International Workshop on Privacy and Security in Online Social Media, in conjunction with the 22nd International World Wide Web Conference (WWW) 2013. [Best Paper] (Greater than 100 citations)
(with Aditi Gupta, Ponnurangam Kumaraguru and Anupam Joshi)
[c3] Circle Based Community Detection, Accepted at I-CARE 2013. Acceptance Rate - 16.4%.
(with Ramasuri Narayanam)
2012
[c2] Incremental Subclass Discriminant Analysis: A Case Study in Face Recognition, In Proceedings of International Conference on Image Processing (ICIP), September 2012.
(with Tejas Dhamecha, Richa Singh and Mayank Vatsa)
2011
[c1] Face Recognition for Look-Alikes: A Preliminary Study, In Proceedings of International Joint Conference on Biometrics, 2011.
(with Ankit Sarkar, Richa Singh and Mayank Vatsa)