Kristina Lerman

Kristina Lerman (born 1967) is an American network scientist whose research concerns the spread of information on social networks, and fairness in machine learning. She is a research professor at the University of Southern California, in the Computer Science Department of the USC Viterbi School of Engineering, and a principal scientist in the Information Sciences Institute. Provided by Wikipedia
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  1. 1
    Information Is Not a Virus, and Other Consequences of Human Cognitive Limits
    by Kristina Lerman
    Published 2016-05-01
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  2. 2
    Leveraging position bias to improve peer recommendation.
    by Kristina Lerman, Tad Hogg
    Published 2014-01-01
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  3. 3
    Predicting Cyber-Events by Leveraging Hacker Sentiment
    by Ashok Deb, Kristina Lerman, Emilio Ferrara
    Published 2018-11-01
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  4. 4
    Predicting and explaining behavioral data with structured feature space decomposition
    by Peter G. Fennell, Zhiya Zuo, Kristina Lerman
    Published 2019-06-01
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  5. 5
    The "Majority Illusion" in Social Networks.
    by Kristina Lerman, Xiaoran Yan, Xin-Zeng Wu
    Published 2016-01-01
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  6. 6
    Predictability limit of partially observed systems
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  7. 7
    Socioeconomic Correlates of Anti-Science Attitudes in the US
    by Minda Hu, Ashwin Rao, Mayank Kejriwal, Kristina Lerman
    Published 2021-06-01
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    Article
  8. 8
    Capturing the interplay of dynamics and networks through parameterizations of Laplacian operators
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    Article
  9. 9
    Friendship paradox biases perceptions in directed networks
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  10. 10
    Individual performance in team-based online games
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  11. 11
    Evidence of Online Performance Deterioration in User Sessions on Reddit.
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  12. 12
    The emergence of heterogeneous scaling in research institutions
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  13. 13
    The myopia of crowds: Cognitive load and collective evaluation of answers on Stack Exchange.
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  14. 14
    COVID-19 misinformation and the 2020 U.S. presidential election
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  15. 15
    Political Partisanship and Antiscience Attitudes in Online Discussions About COVID-19: Twitter Content Analysis
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