基本信息
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Career Trajectory
Bio
Dr. Soundarajan’s research focuses on the structure of social and other real-world networks. She is interested in a variety of problems related to social network analysis, including community detection, link prediction, and network similarity. She is currently studying how communities change over time and, in particular, the structural factors that influence a community’s evolution. She is also interested in developing methods to obtain accurate samples of large network.
Research Interests
Papers共 86 篇Author StatisticsCo-AuthorSimilar Experts
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MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES: RESEARCH TRACK, ECML PKDD 2023, PT IV (2023): 420-435
PROCEEDINGS OF THE 15TH ACM WEB SCIENCE CONFERENCE, WEBSCI 2023pp.219-228, (2023)
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES: RESEARCH TRACK, ECML PKDD 2023, PT III (2023): 293-308
PROCEEDINGS OF THE 2023 IEEE/ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING, ASONAM 2023pp.514-521, (2023)
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES: RESEARCH TRACK, ECML PKDD 2023, PT III (2023): 259-276
23RD IEEE INTERNATIONAL CONFERENCE ON DATA MINING, ICDM 2023pp.1529-1534, (2023)
Journal of the Royal Society, Interfaceno. 198 (2023): 20220555
Intelligent Computing (2022): 787-799
IEEE Transactions on Computersno. 5 (2022): 1-12
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