Social Network Analysis

• Non-exhaustive, Overlapping Clustering (pdf, software)
  J. Whang, Y. Hou, D. Gleich, I. Dhillon.
  IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) 41(11), pp. 2644–2659, August 2018.
• Fast Multiplier Methods to Optimize Non-exhaustive, Overlapping Clustering (pdf, software)
  Y. Hou, J. Whang, D. Gleich, I. Dhillon.
  In SIAM International Conference on Data Mining (SDM), pp. 297–305, May 2016. (Oral)
• Overlapping Community Detection Using Neighborhood-Inflated Seed Expansion (pdf, software)
  J. Whang, D. Gleich, I. Dhillon.
  IEEE Transactions on Knowledge and Data Engineering (TKDE) 28(5), pp. 1272–1284, 2016.
• Tumblr Blog Recommendation with Boosted Inductive Matrix Completion (pdf, software)
  D. Shin, S. Cetintas, K. Lee, I. Dhillon.
  In ACM Conference on Information and Knowledge Management (CIKM), pp. 203–212, October 2015.
• Non-exhaustive, Overlapping Clustering via Low-Rank Semidefinite Programming (pdf, slides, software)
  Y. Hou, J. Whang, D. Gleich, I. Dhillon.
  In ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pp. 427–436, August 2015. (Oral)
• Scalable Data-driven PageRank: Algorithms, System Issues, and Lessons Learned (pdf, software)
  J. Whang, A. Lenharth, I. Dhillon, K. Pingali.
  In International European Conference on Parallel and Distributed Computing (Euro-Par), pp. 438–450, August 2015. (Oral)
• Non-exhaustive, Overlapping k-means (pdf, software)
  J. Whang, I. Dhillon, D. Gleich.
  In SIAM International Conference on Data Mining (SDM), pp. 936–944, May 2015.
• Prediction and Clustering in Signed Networks: A Local to Global Perspective (pdf, software)
  K. Chiang, C. Hsieh, N. Natarajan, A. Tewari, I. Dhillon.
  Journal of Machine Learning Research (JMLR) 15, pp. 1177-1213, March 2014.
• Stochastic Blockmodel with Cluster Overlap, Relevance Selection, and Similarity-Based Smoothing (pdf, slides, software)
  J. Whang, P. Rai, I. Dhillon.
  In IEEE International Conference on Data Mining (ICDM), pp. 817 – 826, December 2013. (Oral)
• Overlapping Community Detection Using Seed Set Expansion (pdf, slides, software)
  J. Whang, D. Gleich, I. Dhillon.
  In ACM Conference on Information and Knowledge Management (CIKM), pp. 2099-2108, October 2013. (Oral)
• Scalable and Memory-Efficient Clustering of Large-Scale Social Networks (pdf, slides, software)
  J. Whang, X. Sui, I. Dhillon.
  In IEEE International Conference on Data Mining (ICDM), pp. 705-714, December 2012. (Oral)
• Parallel Clustered Low-rank Approximation of Graphs and Its Application to Link Prediction (pdf, software)
  X. Sui, T. Lee, J. Whang, B. Savas, S. Jain, K. Pingali, I. Dhillon.
  International Workshop on Languages and Compilers for Parallel Computing (LCPC), pp. 76-95, October 2012. (Oral)
• Scalable Clustering of Signed Networks using Balance Normalized Cut (pdf, slides, software)
  K. Chiang, J. Whang, I. Dhillon.
  In ACM Conference on Information and Knowledge Management (CIKM), pp. 615-624, October 2012. (Oral)
• Multi-Scale Link Prediction (pdf, software)
  D. Shin, S. Si, I. Dhillon.
  In ACM Conference on Information and Knowledge Management (CIKM), pp. 215-224, October 2012.
• Low-Rank Modeling of Signed Networks (pdf, software)
  C. Hsieh, K. Chiang, I. Dhillon.
  In ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), August 2012.
• Clustered Embedding of Massive Social Networks (pdf, software)
  H. Song, B. Savas, T. Cho, V. Dave, Z. Lu, I. Dhillon, Y. Zhang, L. Qui.
  In ACM SIGMETRICS/Performance Joint International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS/Performance), pp. 331-342, June 2012.
• Scalable Affiliation Recommendation using Auxiliary Networks (pdf, software)
  V. Vasuki, N. Natarajan, Z. Lu, B. Savas, I. Dhillon.
  ACM Transactions on Intelligent Systems and Technology (TIST) 3(1), October 2011.
• Exploiting Longer Walks for Link Prediction in Signed Network (pdf, software)
  K. Chiang, I. Dhillon, N. Natarajan, A. Tewari.
  In ACM Conference on Information and Knowledge Management (CIKM), pp. 1157-1162, October 2011.
• Clustered Low Rank Approximation of Graphs in Information Science Applications (pdf, software)
  B. Savas, I. Dhillon.
  In SIAM International Conference on Data Mining (SDM), pp. 164-175, April 2011.
• Supervised Link Prediction Using Multiple Sources (pdf, software)
  Z. Lu, B. Savas, W. Tang, I. Dhillon.
  In IEEE International Conference on Data Mining (ICDM), pp. 923-928, December 2010.
• Affiliation Recommendation using Auxiliary Networks (pdf, software)
  V. Vasuki, N. Natarajan, Z. Lu, I. Dhillon.
  In ACM Conference on Recommender Systems (RecSys), pp. 103-110, September 2010. (Oral)