Search (4 results, page 1 of 1)

  • × author_ss:"Chen, J."
  1. Jiang, X.; Zhu, X.; Chen, J.: Main path analysis on cyclic citation networks (2020) 0.02 
    0.021663882 = product of:
  0.064991646 = sum of:
    0.064991646 = product of:
      0.12998329 = sum of:
        0.12998329 = weight(_text_:networks in 5813) [ClassicSimilarity], result of:
          0.12998329 = score(doc=5813,freq=10.0), product of:
            0.22247115 = queryWeight, product of:
              4.72992 = idf(docFreq=1060, maxDocs=44218)
              0.047034867 = queryNorm
            0.5842703 = fieldWeight in 5813, product of:
              3.1622777 = tf(freq=10.0), with freq of:
                10.0 = termFreq=10.0
              4.72992 = idf(docFreq=1060, maxDocs=44218)
              0.0390625 = fieldNorm(doc=5813)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)
    Abstract
    Main path analysis is a famous network-based method for understanding the evolution of a scientific domain. Most existing methods have two steps, weighting citation arcs based on search path counting and exploring main paths in a greedy fashion, with the assumption that citation networks are acyclic. The only available proposal that avoids manual cycle removal is to preprint transform a cyclic network to an acyclic counterpart. Through a detailed discussion about the issues concerning this approach, especially deriving the "de-preprinted" main paths for the original network, this article proposes an alternative solution with two-fold contributions. Based on the argument that a publication cannot influence itself through a citation cycle, the SimSPC algorithm is proposed to weight citation arcs by counting simple search paths. A set of algorithms are further proposed for main path exploration and extraction directly from cyclic networks based on a novel data structure main path tree. The experiments on two cyclic citation networks demonstrate the usefulness of the alternative solution. In the meanwhile, experiments show that publications in strongly connected components may sit on the turning points of main path networks, which signifies the necessity of a systematic way of dealing with citation cycles.
  2. Hu, X.; Rousseau, R.; Chen, J.: ¬A new approach for measuring the value of patents based on structural indicators for ego patent citation networks (2012) 0.02 
    0.019182019 = product of:
  0.057546057 = sum of:
    0.057546057 = product of:
      0.11509211 = sum of:
        0.11509211 = weight(_text_:networks in 445) [ClassicSimilarity], result of:
          0.11509211 = score(doc=445,freq=4.0), product of:
            0.22247115 = queryWeight, product of:
              4.72992 = idf(docFreq=1060, maxDocs=44218)
              0.047034867 = queryNorm
            0.517335 = fieldWeight in 445, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              4.72992 = idf(docFreq=1060, maxDocs=44218)
              0.0546875 = fieldNorm(doc=445)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)
    Abstract
    Technology sectors differ in terms of technological complexity. When studying technology and innovation through patent analysis it is well known that similar amounts of technological knowledge can produce different numbers of patented innovation as output. A new multilayered approach to measure the technological value of patents based on ego patent citation networks (PCNs) is developed in this study. The results show that the structural indicators for the ego PCN developed in this contribution can characterize groups of patents and, hence, in an indirect way, the health of companies.
  3. Zheng, X.; Chen, J.; Yan, E.; Ni, C.: Gender and country biases in Wikipedia citations to scholarly publications (2023) 0.01 
    0.0063725756 = product of:
  0.019117726 = sum of:
    0.019117726 = product of:
      0.038235452 = sum of:
        0.038235452 = weight(_text_:22 in 886) [ClassicSimilarity], result of:
          0.038235452 = score(doc=886,freq=2.0), product of:
            0.1647081 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.047034867 = queryNorm
            0.23214069 = fieldWeight in 886, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.046875 = fieldNorm(doc=886)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)
    Date
    22. 1.2023 18:53:32
  4. Qin, C.; Liu, Y.; Mou, J.; Chen, J.: User adoption of a hybrid social tagging approach in an online knowledge community (2019) 0.01 
    0.0053104796 = product of:
  0.015931439 = sum of:
    0.015931439 = product of:
      0.031862877 = sum of:
        0.031862877 = weight(_text_:22 in 5492) [ClassicSimilarity], result of:
          0.031862877 = score(doc=5492,freq=2.0), product of:
            0.1647081 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.047034867 = queryNorm
            0.19345059 = fieldWeight in 5492, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0390625 = fieldNorm(doc=5492)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)
    Date
    20. 1.2015 18:30:22

Authors

Years

Themes