Research summary: I develop data science methods to improve online interactions for everyone.


I am a postdoctoral researcher at Stanford University, working with Prof. Jure Leskovec. I conduct research on computational analysis of large-scale web data to help us understand, detect, mitigate, and predict both malicious users and disinformation on social web platforms. My research lies in broad domain of data science, machine learning, and computational social science. Briefly:
(1) I develop data science methods to make fundamental discoveries that have advanced our scientific understanding of disinformation and malicious users, that help us to build better detection models, and
(2) I develop graph mining and deep learning models for graphs that process graph-structured datasets at a scale of millions of entities to model and predict bad behavior, leading to tools that are actively used at Flipkart, Reddit, and Wikipedia.

My PhD dissertation (Computer Science, University of Maryland) was awarded the prestigious 2018 ACM SIGKDD Doctoral Dissertation Award runner-up and Larry S. Davis Doctoral Dissertation Award. Prior to that, I was awarded Dr. BC Roy Gold Medal by IIT, Kharagpur.

NEW! I'm in the job market. Feel free to reach me at srijan@cs.stanford.edu. Job Market Material: CV, Research Statement, Teaching Statement, and Diversity Statement.

NEW! Thrilled to recieve the 2018 ACM SIGKDD Doctoral Dissertation Award runner-up!

News

Selected Publications

My complete publication list: Google Scholar

  1. Learning Dynamic Embeddings from Temporal Interaction Networks [PDF] NEW!
    Srijan Kumar, Xikun Zhang, Jure Leskovec
    arXiv – arXiv:1812.02289
  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
    [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] NEW!
    Srijan Kumar, Bryan Hooi, Disha Makhija, Mohit Kumar, Christos Faloutsos, V.S. Subrahmanian
    WSDM, 2018 – Web Search and Data Mining Conference, 2018
    [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] NEW!
    Srijan Kumar, Neil Shah
    Invited book chapter in Social Media Analytics: Advances and Applications, CRC Press, 2019
  5. 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]
  6. 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.
  7. An Army of Me: Sockpuppets in Online Discussion Communities. [PDF] [Slides]
    Srijan Kumar, Justin Cheng, Jure Leskovec, V.S. Subrahmanian.
    WWW, 2017 – 26th International World Wide Web Conference, 2017

    Best Paper Honorable Mention Award


    Included in the curriculum at: University of Michigan, 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)

  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
    [Project page: Data and Code]
  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
    [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
    [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
    [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. 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.
  15. 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.
  16. 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.
  17. iAnon- Leveraging Social Network Big Data to Mitigate Behavioral Symptoms of Cyberbullying. [PDF]
    Zahra Ashktorab, Srijan Kumar, Soham Dey, Jen Golbeck.
    iConference, 2014.
  18. 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.
  19. 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
    [Project page: Data and Code]
  20. 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.
  21. 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.
  22. 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

  • ACM SIGKDD Doctoral Dissertation Award runner-up, 2018
  • ACM SIGKDD

  • Larry S. Davis Doctoral Dissertation Award, 2017
  • University of Maryland

  • Dr. Bidhan Chandra Roy Memorial Gold Medal, 2013
  • IIT Kharagpur

Connect

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