Publications

    2017

  1. Sucheta Soundarajan, Tina Eliassi-Rad, Brian Gallagher, and Ali Pinar. epsilon-WGX: Adaptive Edge Probing for Enhancing Incomplete Networks. ACM Web Science Conference (WebSci). 2017 (forthcoming). PDF
  2. Yuzhe Tang and Sucheta Soundarajan. Social-Aware Decentralization for Secure and Scalable Multi-Party Computations. ICDCS International Workshop on Privacy and Security in the BigData Ecosystem (PSBD). 2017 (forthcoming). PDF
  3. Ricky Laishram, Katchaguy Areekijseree, and Sucheta Soundarajan. Predicted Max Degree Sampling: Sampling in Directed Networks to Maximize Node Coverage through Crawling. INFOCOM Workshop on Network Science for Communication Network (NetSciCom). 2017. PDF
  4. Priya Govindan, Chenghong Wang, Chumeng Xu, Hongyu Duan, and Sucheta Soundarajan. The k-peak decomposition: Mapping the global structure of graphs. International Conference on the World Wide Web (WWW). 2017. PDF
  5. Pivithuru Wijegunawardana, Vatsal Ojha, Ralucca Gera and Sucheta Soundarajan. Seeing Red: Locating People of Interest in Networks. Conference on Complex Networks (CompleNet). 2017. PDF
  6. 2016

  7. Jeremy D. Wendt, Randy Wells, Richard V. Field Jr., and Sucheta Soundarajan. On data collection, graph construction, and sampling in Twitter. International Symposium on Foundations and Applications of Big Data Analytics (FAB). 2016. PDF.
  8. Sucheta Soundarajan, Tina Eliassi-Rad, Brian Gallagher, Ali Pinar. MaxReach: Reducing Network Incompleteness through Node Probes. IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM). 2016. PDF.
  9. Priya Govindan, Sucheta Soundarajan, Tina Eliassi-Rad, Christos Faloutsos. NIMBLECORE: A Space-efficient External Memory Algorithm for Estimating Core Numbers. IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM). 2016. PDF.
  10. Ruizhe Cai, Ao Ren, Yanzhi Wang, Sucheta Soundarajan, Qinru Qiu, Bo Yuan, Paul Bogdan. A Low-Computation-Complexity, Energy-Efficient, and High-Performance Linear Program Solver Using Memristor Crossbars. IEEE International System-on-Chip Conference (SOCC). 2016. (forthcoming).
  11. Sucheta Soundarajan, Acar Tamersoy, Elias B Khalil, Tina Eliassi-Rad, Duen Horng Chau, Brian Gallagher, and Kevin Roundy. Generating Graph Snapshots from Streaming Edge Data. International Conference on the World Wide Web (WWW). 2016.PDF
  12. 2015

  13. Sucheta Soundarajan and John Hopcroft. Use of Local Group Information to Identify Communities in Networks. ACM Transactions on Knowledge Discovery from Data (TKDD). 2015.PDF
  14. Sucheta Soundarajan, Tina Eliassi-Rad, Brian Gallagher, and Ali Pinar. MaxOutProbe: An Algorithm for Increasing the Size of Partially Observed Networks. NIPS Workshop on Networks in the Social and Information Sciences, 2015. PDF
  15. Sucheta Soundarajan, Tina Eliassi-Rad, Brian Gallagher, and Ali Pinar. Enriching Incomplete Networks. Workshop on Information Networks. 2015. PDF
  16. 2014

  17. Sucheta Soundarajan, Tina Eliassi-Rad, and Brian Gallagher. A Guide to Selecting a Network Similarity Method. SIAM Conference on Data Mining (SDM). 2014. PDF.
  18. Bruno Abrahao, Sucheta Soundarajan, John Hopcroft, and Robert Kleinberg. A Separability Framework for Analyzing Community Structure. ACM Transactions on Knowledge Discovery from Data, special issue on Computation Aspects of Social and Information Networks (TKDD-CASIN). 2014. PDF
  19. Priya Govindan, Sucheta Soundarajan, and Tina Eliassi-Rad. Finding the Most Appropriate Auxiliary Data for Social Graph Deanonymization. KDD workshop on Data Ethics. 2014. PDF
  20. 2013 and earlier

  21. Sucheta Soundarajan, Tina Eliassi-Rad, and Brian Gallagher. Which Network Similarity Method Should You Choose? Workshop on Information Networks. (2013) PDF
  22. Sucheta Soundarajan and Carla Gomes. Using Community Detection Methods for Sustainability Applications. 3rd International Conference on Computational Sustainability. PDF
  23. Bruno Abrahao, Sucheta Soundarajan, John Hopcroft, and Robert Kleinberg. On the Separability of Structural Classes of Communities. 18th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD). 2012. PDF.
  24. Bruno Abrahao, Sucheta Soundarajan, John Hopcroft, Robert Kleinberg . On the Structure of Communities in Networks. Interdisciplinary Workshop on Information and Decision in Social Networks at MIT (2012). PDF
  25. KDD video.
  26. Sucheta Soundarajan and John Hopcroft. Using Community Information to Improve the Precision of Link Prediction Methods. World Wide Web (WWW) 2012. PDF Extended Version PDF
  27. Added to Networkx!
  28. Sucheta Soundarajan and John Hopcroft. Use of Supervised Learning to Predict Directionality of Links in a Network. 8th International Conference on Advanced Data Mining and Applications (ADMA). 2012. PDF.
  29. John Hopcroft, Sucheta Soundarajan, and Liaoruo Wang. The future of computer science. Int J Software Informatics, Vol.5, No.4. 2011. PDF
  30. Sucheta Soundarajan and John Hopcroft. Recovering social networks from contagion information. Proc. of 7th Annual Conference on Theory and Applications of Models of Computation (TAMC). 2010. PDF