Publications

    2023

  1. Zeinab S. Jalali, Joshua Introne, and Sucheta Soundarajan. “Social Stratification in Networks: Insights from Co-Authorship Networks.” Journal of the Royal Society Interface. 2023. PDF

    2. 2022

  2. Jeremy D. Wendt, Rich V. Field, Cynthia A. Phillips, Arvand Prasadan, Tegan Wilson, Sucheta Soundarajan, and Sanjukta Bhowmick. “Partitioning Communication Streams Into Graph Snapshots.” IEEE Transactions on Network Science and Engineering. 2022. PDF
  3. Ricky Laishram and Sucheta Soundarajan. “On Finding and Analyzing the Backbone of the k-Core Structure of a Graph.” IEEE International Conference on Data Mining (ICDM). 2022. PDF
  4. Matthew M Young, Johannes Himmelreich, Danylo Honcharov, and Sucheta Soundarajan. “Using Artificial Intelligence to Identify Administrative Errors in Unemployment Insurance.” Government Information Quarterly. 2022. PDF
  5. Zeinab S. Jalali, Chenghong Wang, Griffin Kearney, Geng Yuan, Caiwen Ding, Yinan Zhou, Yanzhi Wang, and Sucheta Soundarajan. “Memristor-Based Spectral Decomposition of Matrices and Its Applications.” ACM Transactions on Computers. 2022. PDF
  6. Lu Xiao, Qiyi Wu, Sucheta Soundarajan, and Jinfen Li. “Language Use and Susceptibility in Online Conversation.” Computing Conference. 2022. PDF
  7. Harshit Mishra and Sucheta Soundarajan. “Keyword Recommendation for Fair Search.” Workshop on Bias and Fairness in Information Retrieval. 2022. PDF
  8. Zeinab S. Jalali, Qilan Chen, Shwetha Srikanta, Weixiang Wang, Myunghwan Kim, Hema Raghavan, and Sucheta Soundarajan. “Fairness of Information Flow in Social Networks.” ACM Transactions on Knowledge Discovery from Data. 2022. PDF

    9. 2021

  9. Pegah Hozhabrierdi and Sucheta Soundarajan. “CoVerD: Community-based Vertex Defense against Crawling Adversaries” Complex Networks. 2021. PDF
  10. Zeinab Saghati Jalali, Krishnaram Kenthapadi, and Sucheta Soundarajan. “On Measuring the Diversity of Organizational Networks.” CompleNet. 2021. PDF
  11. Ricky Laishram, Pegah Hozhabrierdi, Jeremy D. Wendt, and Sucheta Soundarajan. “NetProtect: Network Perturbations to Protect Nodes against Entry-Point Attacks.” ACM Web Science Conference (WebSci). 2021. PDF
  12. Matthew Young, Johannes Himmelreich, Sucheta Soundarajan and Danylo Honcharov. “The Right Tool for The Job? Assessing the Use of Artificial Intelligence for Identifying Administrative Errors.” Conference on Digital Government Research (DGO). 2021. PDF. Best paper award winner!
  13. Ricky Laishram, Jeremy D. Wendt, and Sucheta Soundarajan. “MCS+: An Efficient Algorithm for Crawling the Community Structure in Multiplex Networks.” ACM Transactions on Knowledge Discovery from Data (TKDD). 2021. PDF
  14. Pegah Hozhabrierdi, Raymond Zhu, Maduakolam Onyewu and Sucheta Soundarajan. “Network-Based Analysis of Early Pandemic Mitigation Strategies: Solutions, and Future Directions.” Northeast Journal of Complex Systems (NERCCS). 2021. PDF
  15. Shobha K. Bhatia, Cameron Cumberland, Patricia Gallagher, Adda Athanasopoulos-Zekkos, and Sucheta Soundarajan. “Seed Grants of Change: Building Thriving Networks among Female Geotechnical Faculty Members.” Journal of Civil Engineering Education. 2021. PDF

    16. 2020

  16. Humphrey Mensah, Lu Xiao, and Sucheta Soundarajan. “Characterizing the Evolution of Communities on Reddit.” International Conference on Social Media and Society (SMS). 2020. PDF
  17. Zeinab Saghati Jalali, Weixiang Wang, Myunghwan Kim, Hema Raghavan, and Sucheta Soundarajan. "On the Information Unfairness of Social Networks." SIAM Conference on Data Mining (SDM). 2020. PDF
  18. Ricky Laishram, Ahmet Erdem Sariyuce, Tina Eliassi-Rad, Ali Pinar, and Sucheta Soundarajan. "Residual Core Maximization: An Efficient Algorithm for Maximizing the Size of the k-Core." SIAM Conference on Data Mining (SDM). 2020. PDF
  19. Pivithuru Wijegunawardana, Ralucca Gera, and Sucheta Soundarajan. "Node Classification with Bounded Error Rates." International Conference on Complex Networks (CompleNet). 2020. PDF

    20. 2019

  20. Pivithuru Wijegunawardana, Mario Taglic, Ralucca Gera, and Sucheta Soundarajan. "An Experimental Framework for Characterizing Adversarial Behavior in Social Networks." International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS). 2019. PDF
  21. Katchaguy Areekijseree, Yuzhe Tang, and Sucheta Soundarajan. “Computing Node Clustering Coefficients Securely.” IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM). 2019. PDF
  22. Katchaguy Areekijseree and Sucheta Soundarajan. “Measuring the Sampling Robustness of Complex Networks.” IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM). 2019. PDF
  23. Katchaguy Areekijseree and Sucheta Soundarajan. “Crawling Complex Networks: An Experimental Evaluation of Data Collection Algorithms and Network Structural Properties.” Journal of Web Science (JWS). 2019. PDF
  24. Humphrey Mensah, Lu Xiao, and Sucheta Soundarajan. “Characterizing Susceptible Users on Reddit's ChangeMyView.” International Conference on Social Media and Society (SMS). 2019. PDF
  25. Geng Yuan, Xiaolong Ma, Caiwen Ding, Sheng Lin, Tianyun Zhang, Zeinab S. Jalali, Yilong Zhao, Li Jiang, Sucheta Soundarajan, Yanzhi Wang. “An Ultra-Efficient Memristor-Based DNN Framework with Structured Weight Pruning and Quantization Using ADMM.” IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED). 2019. PDF
  26. Ricky Laishram, Jeremy D. Wendt, and Sucheta Soundarajan. “Crawling the Community Structure of Multiplex Networks.” AAAI Conference on Artificial Intelligence (AAAI). 2019. PDF

    27. 2018

  27. Sucheta Soundarajan and Daniel Clausen. “Equal Protection Under the Algorithm: A Legal-Inspired Framework for Identifying Discrimination in Machine Learning.” Fairness, Accountability, and Transparency in Machine Learning (FAT/ML). 2018. PDF
  28. Katchaguy Areekijseree and Sucheta Soundarajan. “DE-Crawler: A Densification-Expansion Algorithm for Online Data Collection.” IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM). 2018. PDF
  29. Chenghong Wang, Zeinab S. Jalali, Caiwen Ding, Yanzhi Wang, and Sucheta Soundarajan. “A Fast and Effective Memristor-Based Method for Finding Approximate Eigenvalues and Eigenvectors of Non-Negative Matrices.” IEEE Annual Symposium on VLSI (ISVLSI). 2018. PDF
  30. Humphrey Mensah and Sucheta Soundarajan. “Sampling Community Structure in Dynamic Social Networks.” International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems. 2018. PDF
  31. Ruizhe Cai, Ao Ren, Sucheta Soundarajan, and Yanzhi Wang. “A Low-Computation-Complexity, Energy-Efficient, and High-Performance Linear Program Solver Based on Primal Dual Interior Point Method Using Memristor Crossbars.” Nano Communication Networks. 2018. PDF
  32. Katchaguy Areekijseree, Ricky Laishram, and Sucheta Soundarajan. “Guidelines for Online Network Crawling: A Study of Data Collection Approaches and Network Properties.” ACM Web Science Conference (WebSci). 2018. PDF
  33. Ricky Laishram, Ahmet Erdem Sariyuce, Tina Eliassi-Rad, Ali Pinar, and Sucheta Soundarajan. “Measuring and Improving the Core Resilience of Networks.” The Web Conference (WWW). 2018. PDF
  34. Pivithuru Wijegunawardana, Vatsal Ojha, Ralucca Gera, and Sucheta Soundarajan. “Sampling Dark Networks to Locate People of Interest.” Social Network Analysis and Mining (SNAM). 2018. PDF
  35. Kun He, Yingru Li, Sucheta Soundarajan, and John Hopcroft. “Hidden Community Detection in Social Networks.” Information Sciences. 2018. PDF

    36. 2017

  36. 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. PDF
  37. 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. PDF
  38. 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
  39. 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
  40. Pivithuru Wijegunawardana, Vatsal Ojha, Ralucca Gera and Sucheta Soundarajan. Seeing Red: Locating People of Interest in Networks. Conference on Complex Networks (CompleNet). 2017. PDF

    41. 2016

  41. 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.
  42. 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.
  43. 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.
  44. 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. PDF.
  45. 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

    46. 2015

  46. 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
  47. 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
  48. Sucheta Soundarajan, Tina Eliassi-Rad, Brian Gallagher, and Ali Pinar. Enriching Incomplete Networks. Workshop on Information Networks. 2015. PDF

    49. 2014

  49. Sucheta Soundarajan, Tina Eliassi-Rad, and Brian Gallagher. A Guide to Selecting a Network Similarity Method. SIAM Conference on Data Mining (SDM). 2014. PDF.
  50. 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
  51. 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

    52. 2013 and earlier

  52. Sucheta Soundarajan, Tina Eliassi-Rad, and Brian Gallagher. Which Network Similarity Method Should You Choose? Workshop on Information Networks. (2013) PDF
  53. Sucheta Soundarajan and Carla Gomes. Using Community Detection Methods for Sustainability Applications. 3rd International Conference on Computational Sustainability. PDF
  54. 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.
  55. 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
    56. KDD video.
  56. 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
    57. Added to Networkx!
  57. 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.
  58. John Hopcroft, Sucheta Soundarajan, and Liaoruo Wang. The future of computer science. Int J Software Informatics, Vol.5, No.4. 2011. PDF
  59. 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