Jure Leskovec.
I am Associate Professor of Computer Science at Stanford University. My research focuses on mining and modeling large social and information networks, their evolution, and diffusion of information and influence over them. Problems I investigate are motivated by large scale data, the Web and on-line media.
I am also Chief Scientists at Pinterest, leading Pinterest Labs.
What's new
- Tutorial on Antisocial Behavior On The Web: Characterization And Detection with Srijan Kumar, Justin Cheng. Held at WWW 2017 (April 2, Perth, Australia).
- Wiki Workshop 2017, A forum bringing together researchers exploring all aspects of Wikipedia and other Wikimedia sites. Held at WWW 2017 (April 3, Perth, Australia).
- Teaching the Mining Massive Datasets MOOC on Coursera.
- With Anand Rajaraman and Jeff Ullman we are working in a new edition of Mining of Massive Datasets book. PDFs are at MMDS.org
Latest publications
- Large-scale physical activity data reveal worldwide activity inequality. Nature, 547.7663, 2017.
- Predicting multicellular function through multi-layer tissue networks. Bioinformatics, 2017.
- Local Higher-Order Graph Clustering. KDD, 2017.
- The Selective Labels Problem: Evaluating Algorithmic Predictions in the Presence of Unobservables. KDD, 2017.
- Network Inference via the Time-Varying Graphical Lasso. KDD, 2017.
- Toeplitz Inverse Covariance-Based Clustering of Multivariate Time Series Data. KDD, 2017.
- Loyalty in Online Communities. ICWSM, 2017.
- Community Identity and User Engagement in a Multi-Community Landscape. ICWSM, 2017.
- Learning the Network Structure of Heterogeneous Data via Pairwise Exponential Markov Random Fields. AISTATS, 2017.
- An Army of Me: Sockpuppets in Online Discussion Communities. WWW, 2017. Best paper award honorable mention.
- How Gamification Affects Physical Activity: Large-scale Analysis of Walking Challenges in a Mobile Application. WWW, 2017.
- Why We Read Wikipedia. WWW, 2017.
- Understanding Online Collection Growth Over Time: A Case Study of Pinterest. WWW, 2017.
- Predicting Intent Using Activity Logs: How Goal Specificity and Temporal Range Affect User Behavior. WWW, 2017.
- Anyone Can Become a Troll: Causes of Trolling Behavior in Online Discussions. CSCW, 2017. Best paper award.
- Online Actions with Offline Impact: How Online Social Networks Influence Online and Offline User Behavior. WSDM, 2017.
- Motifs in Temporal Networks. WSDM, 2017.