Search (2 results, page 1 of 1)

  • × author_ss:"Ding, Y."
  • × theme_ss:"Informetrie"
  1. Ding, Y.: Applying weighted PageRank to author citation networks (2011) 0.03
    0.032083966 = product of:
      0.06416793 = sum of:
        0.04072366 = weight(_text_:web in 4188) [ClassicSimilarity], result of:
          0.04072366 = score(doc=4188,freq=2.0), product of:
            0.16134618 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.049439456 = queryNorm
            0.25239927 = fieldWeight in 4188, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.0546875 = fieldNorm(doc=4188)
        0.023444273 = product of:
          0.046888545 = sum of:
            0.046888545 = weight(_text_:22 in 4188) [ClassicSimilarity], result of:
              0.046888545 = score(doc=4188,freq=2.0), product of:
                0.17312855 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.049439456 = queryNorm
                0.2708308 = fieldWeight in 4188, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=4188)
          0.5 = coord(1/2)
      0.5 = coord(2/4)
    
    Abstract
    This article aims to identify whether different weighted PageRank algorithms can be applied to author citation networks to measure the popularity and prestige of a scholar from a citation perspective. Information retrieval (IR) was selected as a test field and data from 1956-2008 were collected from Web of Science. Weighted PageRank with citation and publication as weighted vectors were calculated on author citation networks. The results indicate that both popularity rank and prestige rank were highly correlated with the weighted PageRank. Principal component analysis was conducted to detect relationships among these different measures. For capturing prize winners within the IR field, prestige rank outperformed all the other measures
    Date
    22. 1.2011 13:02:21
  2. Liu, M.; Bu, Y.; Chen, C.; Xu, J.; Li, D.; Leng, Y.; Freeman, R.B.; Meyer, E.T.; Yoon, W.; Sung, M.; Jeong, M.; Lee, J.; Kang, J.; Min, C.; Zhai, Y.; Song, M.; Ding, Y.: Pandemics are catalysts of scientific novelty : evidence from COVID-19 (2022) 0.01
    0.008248359 = product of:
      0.032993436 = sum of:
        0.032993436 = weight(_text_:search in 633) [ClassicSimilarity], result of:
          0.032993436 = score(doc=633,freq=2.0), product of:
            0.17183559 = queryWeight, product of:
              3.475677 = idf(docFreq=3718, maxDocs=44218)
              0.049439456 = queryNorm
            0.19200584 = fieldWeight in 633, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.475677 = idf(docFreq=3718, maxDocs=44218)
              0.0390625 = fieldNorm(doc=633)
      0.25 = coord(1/4)
    
    Abstract
    Scientific novelty drives the efforts to invent new vaccines and solutions during the pandemic. First-time collaboration and international collaboration are two pivotal channels to expand teams' search activities for a broader scope of resources required to address the global challenge, which might facilitate the generation of novel ideas. Our analysis of 98,981 coronavirus papers suggests that scientific novelty measured by the BioBERT model that is pretrained on 29 million PubMed articles, and first-time collaboration increased after the outbreak of COVID-19, and international collaboration witnessed a sudden decrease. During COVID-19, papers with more first-time collaboration were found to be more novel and international collaboration did not hamper novelty as it had done in the normal periods. The findings suggest the necessity of reaching out for distant resources and the importance of maintaining a collaborative scientific community beyond nationalism during a pandemic.