Current Graduate Students:

  • Anu Shrestha
  • Indhumathi Gurunathan

Undergraduate Students:

  • Mayson Green

Past Graduate Students:

  • Laxmi Amulya Gundala
  • Akshay Kansal
  • Harish Arelli
  • Nitish Dhakal (co-advised with Prof. Xu)

Selected Publications

In ICDM, 2016.

In Artif. Intell., 2016.

In SIGKDD, 2015.

In Commun. ACM, 2014.

Latest Publications


More Publications

Who is Really Affected by Fraudulent Reviews? An analysis of shilling attacks on recommender systems in real-world scenarios.

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Editing Behavior Analysis for Predicting Active and Inactive Users in Wikipedia

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A Framework for Predicting Links between Indirectly Interacting Nodes

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Inferring Bad Entities through the Panama Papers Network

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Readers' Demanded Hyperlink Prediction in Wikipedia

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A Scalable Graph-Coarsening Based Index for Dynamic Graph Databases

Details PDF Code ReadMe BibTex

Predicting Friendship Strenght for Privacy Preserving: A Case Study on Facebook.

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Who Will Stop Contributing? Predicting Inactive Editors in Wikipedia.

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Spam Users Identification in Wikipedia via Editing Behavior

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Ensuring the Integrity of Wikipedia: A Data Science Approach

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Tutorials & Talks


  • Francesca won the Best Paper Award at the International Symposium on Foundations of Open Source Intelligence and Security Informatics (FOSINT-SI 2018) in conjunction with ASONAM 2018. Joint work with Edoardo Serra and Mikel Joaristi on “Inferring Bad Entities through the Panama Papers Network.” Read more.

  • Francesca is a Co-Organizer of the Panel on “Broadening Participation in Data Science” at SIAM International Conference on Data Mining (SDM) 2018, San Diego, CA, Friday May 4th, 2018.

  • Francesca is a Co-Chair of the Second Women in Data Science (WinDS) Workshop, co-located with TheWebConference 2018, Lyon, France, Tuesday April 24th, 2018.

  • Francesca collaborated with the American Association of Retired Persons (AARP) on Nov. 15, 2017 to host a STEM outreach event. An interactive presentation was delivered to help older adults understand, navigate, and prevent malicious acts on the Internet, especially Social Media. Read more.


Courses taught at Boise State University:

  • CS 539 Social Media Mining (Fall 2018)
  • CS 410 / 510 Databases (Spring 2017, Spring 2018)
  • CS 321 Data Structures (Fall 2015, Fall 2016, Fall 2017)
  • CS 597 Social Networking Analysis (Spring 2016)