Search (4 results, page 1 of 1)

  • × theme_ss:"Internet"
  • × author_ss:"Zhang, Y."
  1. Zhang, Y.: ¬The impact of Internet-based electronic resources on formal scholarly communication in the area of library and information science : a citation analysis (1998) 0.03
    0.025540482 = product of:
      0.051080965 = sum of:
        0.027071979 = weight(_text_:library in 2808) [ClassicSimilarity], result of:
          0.027071979 = score(doc=2808,freq=4.0), product of:
            0.1317883 = queryWeight, product of:
              2.6293786 = idf(docFreq=8668, maxDocs=44218)
              0.050121464 = queryNorm
            0.2054202 = fieldWeight in 2808, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              2.6293786 = idf(docFreq=8668, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2808)
        0.024008986 = product of:
          0.04801797 = sum of:
            0.04801797 = weight(_text_:22 in 2808) [ClassicSimilarity], result of:
              0.04801797 = score(doc=2808,freq=4.0), product of:
                0.17551683 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.050121464 = queryNorm
                0.27358043 = fieldWeight in 2808, product of:
                  2.0 = tf(freq=4.0), with freq of:
                    4.0 = termFreq=4.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=2808)
          0.5 = coord(1/2)
      0.5 = coord(2/4)
    
    Abstract
    Internet based electronic resources are growing dramatically but there have been no empirical studies evaluating the impact of e-sources, as a whole, on formal scholarly communication. reports results of an investigation into how much e-sources have been used in formal scholarly communication, using a case study in the area of Library and Information Science (LIS) during the period 1994 to 1996. 4 citation based indicators were used in the study of the impact measurement. Concludes that, compared with the impact of print sources, the impact of e-sources on formal scholarly communication in LIS is small, as measured by e-sources cited, and does not increase significantly by year even though there is observable growth of these impact across the years. It is found that periodical format is related to the rate of citing e-sources, articles are more likely to cite e-sources than are print priodical articles. However, once authors cite electronic resource, there is no significant difference in the number of references per article by periodical format or by year. Suggests that, at this stage, citing e-sources may depend on authors rather than the periodical format in which authors choose to publish
    Date
    30. 1.1999 17:22:22
  2. Zhang, Y.; Zheng, G.; Yan, H.: Bridging information and communication technology and older adults by social network : an action research in Sichuan, China (2023) 0.02
    0.01865498 = product of:
      0.07461992 = sum of:
        0.07461992 = weight(_text_:digital in 1089) [ClassicSimilarity], result of:
          0.07461992 = score(doc=1089,freq=6.0), product of:
            0.19770671 = queryWeight, product of:
              3.944552 = idf(docFreq=2326, maxDocs=44218)
              0.050121464 = queryNorm
            0.37742734 = fieldWeight in 1089, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              3.944552 = idf(docFreq=2326, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1089)
      0.25 = coord(1/4)
    
    Abstract
    The extant literature demonstrates that the age-related digital divide prevents older adults from enhancing their quality of life. To bridge this gap and promote active aging, this study explores the interplay between social networks and older adults' use of information and communication technology (ICT). Using an action-oriented field research approach, we offered technical help (29 help sessions) to older adult participants recruited from western China. Then, we conducted content analysis to examine the obtained video, audio, and text data. Our results show that, first, different types of social networks significantly influence older adults' ICT use in terms of digital skills, engagement, and attitudes; however, these effects vary from person to person. In particular, our results highlight the crucial role of a stable and long-term supportive social network in learning and mastering ICT for older residents. Second, technical help facilitates the building and reinforcing of such a social network for the participants. Our study has strong implications in that policymakers can foster the digital inclusion of older people through supportive social networks.
  3. Zhang, M.; Zhang, Y.: Professional organizations in Twittersphere : an empirical study of U.S. library and information science professional organizations-related Tweets (2020) 0.01
    0.009475192 = product of:
      0.03790077 = sum of:
        0.03790077 = weight(_text_:library in 5775) [ClassicSimilarity], result of:
          0.03790077 = score(doc=5775,freq=4.0), product of:
            0.1317883 = queryWeight, product of:
              2.6293786 = idf(docFreq=8668, maxDocs=44218)
              0.050121464 = queryNorm
            0.28758827 = fieldWeight in 5775, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              2.6293786 = idf(docFreq=8668, maxDocs=44218)
              0.0546875 = fieldNorm(doc=5775)
      0.25 = coord(1/4)
    
    Abstract
    Twitter is utilized by many, including professional businesses and organizations; however, there are very few studies on how other entities interact with these organizations in the Twittersphere. This article presents a study that investigates tweets related to 5 major library and information science (LIS) professional organizations in the United States. This study applies a systematic tweets analysis framework, including descriptive analytics, network analytics, and co-word analysis of hashtags. The findings shed light on user engagement with LIS professional organizations and the trending discussion topics on Twitter, which is valuable for enabling more successful social media use and greater influence.
  4. Zhang, Y.; Jansen, B.J.; Spink, A.: Identification of factors predicting clickthrough in Web searching using neural network analysis (2009) 0.01
    0.005093075 = product of:
      0.0203723 = sum of:
        0.0203723 = product of:
          0.0407446 = sum of:
            0.0407446 = weight(_text_:22 in 2742) [ClassicSimilarity], result of:
              0.0407446 = score(doc=2742,freq=2.0), product of:
                0.17551683 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.050121464 = queryNorm
                0.23214069 = fieldWeight in 2742, 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=2742)
          0.5 = coord(1/2)
      0.25 = coord(1/4)
    
    Date
    22. 3.2009 17:49:11