Connection

Co-Authors

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This is a "connection" page, showing publications co-authored by Tim Mackey and Vidya Purushothaman.
Tim Mackey
Connection Strength
1.361
Vidya Purushothaman
  1. A longitudinal and geospatial analysis of COVID-19 tweets during the early outbreak period in the United States. BMC Public Health. 2021 04 24; 21(1):793.
    View in: PubMed
    Score: 0.235
  2. Application of unsupervised machine learning to identify and characterise hydroxychloroquine misinformation on Twitter. Lancet Digit Health. 2021 02; 3(2):e72-e75.
    View in: PubMed
    Score: 0.232
  3. Sub-national longitudinal and geospatial analysis of COVID-19 tweets. PLoS One. 2020; 15(10):e0241330.
    View in: PubMed
    Score: 0.228
  4. Big Data, Natural Language Processing, and Deep Learning to Detect and Characterize Illicit COVID-19 Product Sales: Infoveillance Study on Twitter and Instagram. JMIR Public Health Surveill. 2020 08 25; 6(3):e20794.
    View in: PubMed
    Score: 0.225
  5. Machine Learning to Detect Self-Reporting of Symptoms, Testing Access, and Recovery Associated With COVID-19 on Twitter: Retrospective Big Data Infoveillance Study. JMIR Public Health Surveill. 2020 06 08; 6(2):e19509.
    View in: PubMed
    Score: 0.222
  6. Data Mining and Content Analysis of the Chinese Social Media Platform Weibo During the Early COVID-19 Outbreak: Retrospective Observational Infoveillance Study. JMIR Public Health Surveill. 2020 04 21; 6(2):e18700.
    View in: PubMed
    Score: 0.220
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.