NEWS: I will join Georgia Institute of Technology as a tenure-track Assistant Professor from January 2020.

My research lies in data science, social media analytics, network mining, and cybersecurity on web-scale online social systems. The long-term goal is to create safe and healthy online ecosystems. I have pioneered the development of trust, safety, and well-being algorithms that are being used in production at Flipkart (India's largest e-commerce platform) and are being deployed at Wikipedia.

My current broad research thrusts include:

  • Data science, social media analytics, and cybersecurity
  • ML for user modeling, recommender systems, and personalization
  • Deep learning for complex networks
  • Human+AI teaming and decision making

Multiple openings for Ph.D. students. If you want to work on high-impact problems, send me an email with your interests and CV.

Currently, I am a postdoctoral researcher at Stanford University, working with Prof. Jure Leskovec. I am the recipient of 2018 ACM SIGKDD Doctoral Dissertation Award runner-up, WWW 2017 best paper award runner-up, Larry S. Davis Doctoral Dissertation Award 2017, and Dr. BC Roy Gold Medal 2013.

News

Selected Publications

My complete publication list: Google Scholar

  1. Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks [PDF] NEW!
    Srijan Kumar, Xikun Zhang, Jure Leskovec
    KDD, 2019 – 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2019 [Oral presentation, research track (top 9%)]
    New dataset released: Account blocks on Wikipedia and Reddit. Link below.
    [PDF] [Github page with code and data] [Slides] [Short explanation video]
  2. Community Interaction and Conflict on the Web [PDF] NEW!
    Srijan Kumar, William L. Hamilton, Jure Leskovec, Dan Jurafsky
    WWW (The Web Conference), 2018 – World Wide Web Conference, 2018
    New dataset released: Reddit community-to-community interlinks and harassment attacks
    [Project page: Data and Code] [Presentation slides (pptx)] [Presentation slides (pdf)]

    Included in the curriculum at: University of Waterloo

    Press: Russian spam accounts are still a big problem for Reddit (Engadget), What Reddit Tells Us About Political Coalitions and Conflicts (The Atlantic), Most Reddit battles are started by 1 percent of communities (Engadget), Tiny percent of Reddit communities spark majority of conflicts (CNET), One Percent of Subreddits Are Responsible for Most of the Raids on Reddit (VICE), and more by Inverse, TheNextWeb, theregister.co.uk

  3. Rev2: Fraudulent User Prediction in Rating Platforms [PDF]
    Srijan Kumar, Bryan Hooi, Disha Makhija, Mohit Kumar, Christos Faloutsos, V.S. Subrahmanian
    WSDM, 2018 – 11th ACM International Web Search and Data Mining Conference, 2018
    New dataset released: Fraudsters on Amazon, Bitcoin networks, and Epinions.
    [Project page: Data and Codes] [Presentation slides (pptx)] [Poster]

    Included in the curriculum at: Stanford University

  4. False Information on Web and Social Media: A Survey [PDF]
    Srijan Kumar, Neil Shah
    Invited book chapter in Social Media Analytics: Advances and Applications, CRC Press, 2018
  5. An Army of Me: Sockpuppets in Online Discussion Communities. [PDF]
    Srijan Kumar, Justin Cheng, Jure Leskovec, V.S. Subrahmanian.
    WWW, 2017 – 26th International World Wide Web Conference, 2017

    Best Paper Award Honorable Mention


    [Presentation Slides]

    Included in the curriculum at: University of Michigan, Virginia Tech University, Stanford University, Penn State University, Saarland University, and University of Freiburg.

    Documentary: Familiar Shapes by Heather D. Freeman

    Press: Sock puppet accounts unmasked by the way they write and post (New Scientist), Tool unmasks online puppeteers (New Scientist, print version), Spotting sockpuppets with science (TechCrunch), Sock Puppet Accounts on the Internet Getting You Down? Here’s How to Spot Them (WOWscience)

  6. Predicting the Visual Focus of Attention Prediction in Multi-person Discussion Videos [PDF] NEW!
    Chongyang Bai, Srijan Kumar, Jure Leskovec, Miriam Metzger, Jay Nunamaker, V.S. Subrahmanian
    IJCAI, 2019 – International Joint Conference on Artificial Intelligence, 2019
    New dataset released: 62 dynamic networks of who-interacts-with-whom. Link below.
    [Dataset] [Project page with demo]
  7. Predicting Dominance in Multi-person Videos [PDF] NEW!
    Chongyang Bai, Maksim Bolonkin, Srijan Kumar, Jure Leskovec, Judee Burgoon, Norah Dunbar, V.S. Subrahmanian
    IJCAI, 2019 – International Joint Conference on Artificial Intelligence, 2019
    [Dataset] [Project page with demo]
  8. Predicting Human Behavior: The Next Frontiers.
    V.S. Subrahmanian, Srijan Kumar.
    Science, 2017 – Science, vol. 355, issue 6324, pp. 489, 2017
  9. Spectral Lens: Explainable Diagnostics, Tools and Discoveries in Directed, Weighted Graphs
    Sebastian Goebl, Srijan Kumar, Christos Faloutsos
    ICDM, 2017 – IEEE International Conference on Data Mining, 2017
  10. Edge Weight Prediction in Weighted Signed Networks. [PDF]
    Srijan Kumar, Francesca Spezzano, V.S. Subrahmanian, Christos Faloutsos
    ICDM, 2016 – IEEE International Conference on Data Mining, 2016
    New datasets released: Weighted, signed, temporal networks from Bitcoin OTC and Bitcoin Alpha.
    [Project page: Code] [Bitcoin OTC] [Bitcoin Alpha]
  11. Disinformation on the Web: Impact, Characterisitics and Detection of Wikipedia Hoaxes. [PDF]
    Srijan Kumar, Robert West, Jure Leskovec.
    WWW, 2016 – 25th International World Wide Web Conference, 2016
    New datasets released: Hoax articles on Wikipedia
    [Project page: Data and Code]

    Included in the curriculum at: UIUC, University of Waterloo, McGill University, Texas A&M University, University of Hawaii, University of Freiburg, Leibniz University, Hannover, University of Waterloo, University of Alberta, University of Wellington, New Zealand, and Bari BigData winter school 2017.

    Press: Don't Ask Wikipedia To Cure the Internet (WIRED), Can Wikipedia Solve YouTube's Conspiracy Theory Problem? (Motherboard)

  12. VEWS: A Wikipedia Vandal Early Warning System. [PDF]
    Srijan Kumar, Francesca Spezzano, V. S. Subrahmanian.
    KDD, 2015 – 21th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2015
    New datasets released: Vandals and vandalism on Wikipedia
    [Project page: Data and Code]
  13. Linguisitic Harbingers of Betrayal: A Case Study on an Online Strategic Game. [PDF]
    Vlad Niculae, Srijan Kumar, Jordan Boyd-Graber, Cristian Danescu-Niculescu-Mizil.
    ACL, 2015 – 51st Conference of the Association for Computational Linguistics, 2015
    New datasets released: Deception in Diplomacy, a conversation-based online game
    [Project page: Data and Code]

    Press: Should you worry about people who are too polite? (CNN), When Diplomacy Leads to Betrayal (The Wall Street Journal), Here’s a Good Reason to Be Wary of Overly Polite People (New York Magazine) and more here.

  14. Breaking Bad: Forecasting Adversarial Android Bad Behavior
    S. Li*, Srijan Kumar*, Tudor Dumitras, and V.S. Subrahmanian. (* indicates equal contribution).
    CyberSecurity, 2018 - From Database to Cybersecurity, 2018.
  15. Measuring the Evolution of a Scientific Field through Citation Frames. [PDF]
    David Jurgens, Srijan Kumar, Raine Hoover, Dan McFarland, Dan Jurafsky
    TACL, 2018 – Transactions of the Association for Computational Linguistics, 2018
    [Project page with data] [Code]
  16. Demand-Driven Single- and Multitarget Mixture Preparation Using Digital Microfluidic Biochips.
    Shalu, Srijan Kumar, A. Singla, Sudip Roy, K. Chakrabarty, P. P. Chakrabarti, and B. B. Bhattacharya.
    TODAES, 2018 - ACM Transactions on Design Automation of Electronic Systems.
  17. Stubborn Mining: Generalizing Selfish Mining and Combining with an Eclipse Attack. [PDF]
    Kartik Nayak*, Srijan Kumar*, Andrew Miller and Elaine Shi. (* indicates equal contribution).
    Euro S&P, 2016 - IEEE European Symposium on Security and Privacy, 2016.
  18. Layout-Aware Mixture Preparation of Biochemical Fluids on Application-Specific Digital Microfluidic Biochips. [PDF]
    Sudip Roy, Partha P. Chakrabarti, Srijan Kumar, Krishnendu Chakrabarty, Bhargab B. Bhattacharya.
    TODAES, 2015 - ACM Transactions on Design Automation of Electronic Systems, 2015.
  19. iAnon- Leveraging Social Network Big Data to Mitigate Behavioral Symptoms of Cyberbullying. [PDF]
    Zahra Ashktorab, Srijan Kumar, Soham Dey, Jen Golbeck.
    iConference, 2014.
  20. Demand-Driven Mixture Preparation and Droplet Streaming using Digital Microfluidic Biochips. [PDF]
    Sudip Roy, Srijan Kumar, P. P. Chakrabarty, B. B. Bhattacharya and K. Chakrabarty.
    DAC, 2014 - ACM/IEEE Design Automation Conference, 2014.
  21. Accurately Detecting Trolls in Slashdot Zoo via Decluttering. [PDF]
    Srijan Kumar, Francesca Spezzano, V. S. Subrahmanian.
    ASONAM, 2014 – Advances in Social Network Analysis and Mining, 2014
    New datasets released: Trolls in Slashdot, a signed social networking platform
    [Project page: Data and Code]
  22. Routing-Aware Resource Allocation for Mixture Preparation in Digital Microfluidic Biochips. [PDF]
    Sudip Roy, P. P. Chakrabarty, Srijan Kumar, B. B. Bhattacharya and K. Chakrabarty.
    ISVLSI, 2013 - IEEE International Symposium on VLSI, 2013.
  23. Efficient Mixture Preparation of Biochemical Fluids using Digital Microfluidic Biochip. [PDF]
    Srijan Kumar, Sudip Roy, P. P. Chakrabarti, B. B. Bhattacharya and K. Chakrabarty.
    DDECS, 2013 - Sixteenth IEEE Symposium on Design and Diagnostics of Electronic Circuits and Systems, 2013.
  24. Automatic Classification and Analysis of Interdisciplinary fields in Computer science. [PDF]
    T. Chakrabarty, Srijan Kumar, D. Reddy, Suhansanu Kumar, Niloy Ganguly and Animesh Mukherjee.
    SocialCom, 2013 - ASE/IEEE International Conference on Social Computing.

For all publications, please see my Google Scholar.

Tutorials

  1. Data-Driven Approaches towards Malicious Behavior Modeling
    Meng Jiang, Srijan Kumar, V.S. Subrahmanian, Christos Faloutsos
    KDD, 2017 – 23rd ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2017
  2. Antisocial Behavior on the Web: Characterization and Detection
    Srijan Kumar, Justin Cheng, Jure Leskovec
    WWW, 2017 – 26th International World Wide Web Conference, 2017
  3. Identifying Malicious Actors on Social Media
    Srijan Kumar, Francesca Spezzano, V.S. Subrahmanian
    ASONAM, 2016 – Advances in Social Network Analysis and Mining, 2016

Honors and Awards

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