Document (#42575)

Author
Chang, H.-C.
Iyer, I.
Title
Trends in Twitter hashtag applications : design features for value-added dimensions to future library catalogues
Source
Library trends. 61(2012) no.1, S.248-258
Year
2012
Abstract
The Twitter hashtag is a unique tagging format linking Tweets to user-defined concepts. The aim of the paper is to describe various applications of Twitter hashtags and to determine the functional characteristics of each application. Twitter hashtags can assist in archiving twitter content, provide different visual representations of tweets, and permit grouping by categories and facets. This study seeks to examine the trends in Twitter hashtag features and how these may be applied as enhancements for next-generation library catalogues. For this purpose, Taylor's value-added model is used as an analytical framework. The morphological box developed by Zwicky is used to synthesize functionalities of Twitter hashtag applications. And finally, included are recommendations for the design of hashtag-based value-added dimensions for future library catalogues.
Footnote
Vgl.: 10.1353/lib.2012.0024.
Theme
Katalogfragen allgemein
Metadaten
Object
Twitter

Similar documents (author)

  1. Iyer, H.: Users preference of sequnce of component ideas in subject representation : PMEST model (1986) 2.17
    2.1726713 = sum of:
      2.1726713 = product of:
        4.3453426 = sum of:
          4.3453426 = weight(author_txt:iyer in 323) [ClassicSimilarity], result of:
            4.3453426 = score(doc=323,freq=1.0), product of:
              0.7943547 = queryWeight, product of:
                1.1435375 = boost
                8.752448 = idf(docFreq=18, maxDocs=44218)
                0.079366 = queryNorm
              5.47028 = fieldWeight in 323, product of:
                1.0 = tf(freq=1.0), with freq of:
                  1.0 = termFreq=1.0
                8.752448 = idf(docFreq=18, maxDocs=44218)
                0.625 = fieldNorm(doc=323)
        0.5 = coord(1/2)
    
  2. Iyer, H.: Ask hypothesis and Ranganathan's fundamental categories (1986) 2.17
    2.1726713 = sum of:
      2.1726713 = product of:
        4.3453426 = sum of:
          4.3453426 = weight(author_txt:iyer in 324) [ClassicSimilarity], result of:
            4.3453426 = score(doc=324,freq=1.0), product of:
              0.7943547 = queryWeight, product of:
                1.1435375 = boost
                8.752448 = idf(docFreq=18, maxDocs=44218)
                0.079366 = queryNorm
              5.47028 = fieldWeight in 324, product of:
                1.0 = tf(freq=1.0), with freq of:
                  1.0 = termFreq=1.0
                8.752448 = idf(docFreq=18, maxDocs=44218)
                0.625 = fieldNorm(doc=324)
        0.5 = coord(1/2)
    
  3. Iyer, H.: Natural language representation : transformational rules (1990) 2.17
    2.1726713 = sum of:
      2.1726713 = product of:
        4.3453426 = sum of:
          4.3453426 = weight(author_txt:iyer in 414) [ClassicSimilarity], result of:
            4.3453426 = score(doc=414,freq=1.0), product of:
              0.7943547 = queryWeight, product of:
                1.1435375 = boost
                8.752448 = idf(docFreq=18, maxDocs=44218)
                0.079366 = queryNorm
              5.47028 = fieldWeight in 414, product of:
                1.0 = tf(freq=1.0), with freq of:
                  1.0 = termFreq=1.0
                8.752448 = idf(docFreq=18, maxDocs=44218)
                0.625 = fieldNorm(doc=414)
        0.5 = coord(1/2)
    
  4. Iyer, H.: Facet-structure of subjects : an empirical study of concreteness and predictibility of categories (1982) 2.17
    2.1726713 = sum of:
      2.1726713 = product of:
        4.3453426 = sum of:
          4.3453426 = weight(author_txt:iyer in 1738) [ClassicSimilarity], result of:
            4.3453426 = score(doc=1738,freq=1.0), product of:
              0.7943547 = queryWeight, product of:
                1.1435375 = boost
                8.752448 = idf(docFreq=18, maxDocs=44218)
                0.079366 = queryNorm
              5.47028 = fieldWeight in 1738, product of:
                1.0 = tf(freq=1.0), with freq of:
                  1.0 = termFreq=1.0
                8.752448 = idf(docFreq=18, maxDocs=44218)
                0.625 = fieldNorm(doc=1738)
        0.5 = coord(1/2)
    
  5. Iyer, H.: Semantic interpretation of conjuncts : Boolean transformations (1992) 2.17
    2.1726713 = sum of:
      2.1726713 = product of:
        4.3453426 = sum of:
          4.3453426 = weight(author_txt:iyer in 4025) [ClassicSimilarity], result of:
            4.3453426 = score(doc=4025,freq=1.0), product of:
              0.7943547 = queryWeight, product of:
                1.1435375 = boost
                8.752448 = idf(docFreq=18, maxDocs=44218)
                0.079366 = queryNorm
              5.47028 = fieldWeight in 4025, product of:
                1.0 = tf(freq=1.0), with freq of:
                  1.0 = termFreq=1.0
                8.752448 = idf(docFreq=18, maxDocs=44218)
                0.625 = fieldNorm(doc=4025)
        0.5 = coord(1/2)
    

Similar documents (content)

  1. Çelebi, A.; Özgür, A.: Segmenting hashtags and analyzing their grammatical structure (2018) 0.40
    0.4037939 = sum of:
      0.4037939 = product of:
        1.6824746 = sum of:
          0.009892678 = weight(abstract_txt:used in 4221) [ClassicSimilarity], result of:
            0.009892678 = score(doc=4221,freq=2.0), product of:
              0.03331733 = queryWeight, product of:
                1.0433592 = boost
                3.3592992 = idf(docFreq=4177, maxDocs=44218)
                0.009505779 = queryNorm
              0.2969229 = fieldWeight in 4221, product of:
                1.4142135 = tf(freq=2.0), with freq of:
                  2.0 = termFreq=2.0
                3.3592992 = idf(docFreq=4177, maxDocs=44218)
                0.0625 = fieldNorm(doc=4221)
          0.024405736 = weight(abstract_txt:features in 4221) [ClassicSimilarity], result of:
            0.024405736 = score(doc=4221,freq=2.0), product of:
              0.060830615 = queryWeight, product of:
                1.4098076 = boost
                4.5391517 = idf(docFreq=1283, maxDocs=44218)
                0.009505779 = queryNorm
              0.4012081 = fieldWeight in 4221, product of:
                1.4142135 = tf(freq=2.0), with freq of:
                  2.0 = termFreq=2.0
                4.5391517 = idf(docFreq=1283, maxDocs=44218)
                0.0625 = fieldNorm(doc=4221)
          0.080555215 = weight(abstract_txt:tweets in 4221) [ClassicSimilarity], result of:
            0.080555215 = score(doc=4221,freq=1.0), product of:
              0.16990261 = queryWeight, product of:
                2.3561273 = boost
                7.5860133 = idf(docFreq=60, maxDocs=44218)
                0.009505779 = queryNorm
              0.47412583 = fieldWeight in 4221, product of:
                1.0 = tf(freq=1.0), with freq of:
                  1.0 = termFreq=1.0
                7.5860133 = idf(docFreq=60, maxDocs=44218)
                0.0625 = fieldNorm(doc=4221)
          0.39745384 = weight(abstract_txt:hashtags in 4221) [ClassicSimilarity], result of:
            0.39745384 = score(doc=4221,freq=8.0), product of:
              0.24620606 = queryWeight, product of:
                2.8362734 = boost
                9.131938 = idf(docFreq=12, maxDocs=44218)
                0.009505779 = queryNorm
              1.6143138 = fieldWeight in 4221, product of:
                2.828427 = tf(freq=8.0), with freq of:
                  8.0 = termFreq=8.0
                9.131938 = idf(docFreq=12, maxDocs=44218)
                0.0625 = fieldNorm(doc=4221)
          0.21380511 = weight(abstract_txt:twitter in 4221) [ClassicSimilarity], result of:
            0.21380511 = score(doc=4221,freq=1.0), product of:
              0.4945069 = queryWeight, product of:
                7.5200186 = boost
                6.9177637 = idf(docFreq=118, maxDocs=44218)
                0.009505779 = queryNorm
              0.43236023 = fieldWeight in 4221, product of:
                1.0 = tf(freq=1.0), with freq of:
                  1.0 = termFreq=1.0
                6.9177637 = idf(docFreq=118, maxDocs=44218)
                0.0625 = fieldNorm(doc=4221)
          0.95636195 = weight(abstract_txt:hashtag in 4221) [ClassicSimilarity], result of:
            0.95636195 = score(doc=4221,freq=5.0), product of:
              0.70179313 = queryWeight, product of:
                7.571349 = boost
                9.7509775 = idf(docFreq=6, maxDocs=44218)
                0.009505779 = queryNorm
              1.3627405 = fieldWeight in 4221, product of:
                2.236068 = tf(freq=5.0), with freq of:
                  5.0 = termFreq=5.0
                9.7509775 = idf(docFreq=6, maxDocs=44218)
                0.0625 = fieldNorm(doc=4221)
        0.24 = coord(6/25)
    
  2. Ma, Z.; Sun, A.; Cong, G.: On predicting the popularity of newly emerging hashtags in Twitter (2013) 0.39
    0.39262864 = sum of:
      0.39262864 = product of:
        1.6359527 = sum of:
          0.014104244 = weight(abstract_txt:future in 967) [ClassicSimilarity], result of:
            0.014104244 = score(doc=967,freq=1.0), product of:
              0.05317459 = queryWeight, product of:
                1.3181074 = boost
                4.243905 = idf(docFreq=1724, maxDocs=44218)
                0.009505779 = queryNorm
              0.26524407 = fieldWeight in 967, product of:
                1.0 = tf(freq=1.0), with freq of:
                  1.0 = termFreq=1.0
                4.243905 = idf(docFreq=1724, maxDocs=44218)
                0.0625 = fieldNorm(doc=967)
          0.04565895 = weight(abstract_txt:features in 967) [ClassicSimilarity], result of:
            0.04565895 = score(doc=967,freq=7.0), product of:
              0.060830615 = queryWeight, product of:
                1.4098076 = boost
                4.5391517 = idf(docFreq=1283, maxDocs=44218)
                0.009505779 = queryNorm
              0.75059164 = fieldWeight in 967, product of:
                2.6457512 = tf(freq=7.0), with freq of:
                  7.0 = termFreq=7.0
                4.5391517 = idf(docFreq=1283, maxDocs=44218)
                0.0625 = fieldNorm(doc=967)
          0.113922276 = weight(abstract_txt:tweets in 967) [ClassicSimilarity], result of:
            0.113922276 = score(doc=967,freq=2.0), product of:
              0.16990261 = queryWeight, product of:
                2.3561273 = boost
                7.5860133 = idf(docFreq=60, maxDocs=44218)
                0.009505779 = queryNorm
              0.6705152 = fieldWeight in 967, product of:
                1.4142135 = tf(freq=2.0), with freq of:
                  2.0 = termFreq=2.0
                7.5860133 = idf(docFreq=60, maxDocs=44218)
                0.0625 = fieldNorm(doc=967)
          0.24338977 = weight(abstract_txt:hashtags in 967) [ClassicSimilarity], result of:
            0.24338977 = score(doc=967,freq=3.0), product of:
              0.24620606 = queryWeight, product of:
                2.8362734 = boost
                9.131938 = idf(docFreq=12, maxDocs=44218)
                0.009505779 = queryNorm
              0.9885613 = fieldWeight in 967, product of:
                1.7320508 = tf(freq=3.0), with freq of:
                  3.0 = termFreq=3.0
                9.131938 = idf(docFreq=12, maxDocs=44218)
                0.0625 = fieldNorm(doc=967)
          0.47808278 = weight(abstract_txt:twitter in 967) [ClassicSimilarity], result of:
            0.47808278 = score(doc=967,freq=5.0), product of:
              0.4945069 = queryWeight, product of:
                7.5200186 = boost
                6.9177637 = idf(docFreq=118, maxDocs=44218)
                0.009505779 = queryNorm
              0.96678686 = fieldWeight in 967, product of:
                2.236068 = tf(freq=5.0), with freq of:
                  5.0 = termFreq=5.0
                6.9177637 = idf(docFreq=118, maxDocs=44218)
                0.0625 = fieldNorm(doc=967)
          0.7407948 = weight(abstract_txt:hashtag in 967) [ClassicSimilarity], result of:
            0.7407948 = score(doc=967,freq=3.0), product of:
              0.70179313 = queryWeight, product of:
                7.571349 = boost
                9.7509775 = idf(docFreq=6, maxDocs=44218)
                0.009505779 = queryNorm
              1.0555743 = fieldWeight in 967, product of:
                1.7320508 = tf(freq=3.0), with freq of:
                  3.0 = termFreq=3.0
                9.7509775 = idf(docFreq=6, maxDocs=44218)
                0.0625 = fieldNorm(doc=967)
        0.24 = coord(6/25)
    
  3. Kong, S.; Ye, F.; Feng, L.; Zhao, Z.: Towards the prediction problems of bursting hashtags on Twitter (2015) 0.24
    0.23948632 = sum of:
      0.23948632 = product of:
        1.4967896 = sum of:
          0.036608603 = weight(abstract_txt:features in 2338) [ClassicSimilarity], result of:
            0.036608603 = score(doc=2338,freq=2.0), product of:
              0.060830615 = queryWeight, product of:
                1.4098076 = boost
                4.5391517 = idf(docFreq=1283, maxDocs=44218)
                0.009505779 = queryNorm
              0.6018121 = fieldWeight in 2338, product of:
                1.4142135 = tf(freq=2.0), with freq of:
                  2.0 = termFreq=2.0
                4.5391517 = idf(docFreq=1283, maxDocs=44218)
                0.09375 = fieldNorm(doc=2338)
          0.36508468 = weight(abstract_txt:hashtags in 2338) [ClassicSimilarity], result of:
            0.36508468 = score(doc=2338,freq=3.0), product of:
              0.24620606 = queryWeight, product of:
                2.8362734 = boost
                9.131938 = idf(docFreq=12, maxDocs=44218)
                0.009505779 = queryNorm
              1.482842 = fieldWeight in 2338, product of:
                1.7320508 = tf(freq=3.0), with freq of:
                  3.0 = termFreq=3.0
                9.131938 = idf(docFreq=12, maxDocs=44218)
                0.09375 = fieldNorm(doc=2338)
          0.45354915 = weight(abstract_txt:twitter in 2338) [ClassicSimilarity], result of:
            0.45354915 = score(doc=2338,freq=2.0), product of:
              0.4945069 = queryWeight, product of:
                7.5200186 = boost
                6.9177637 = idf(docFreq=118, maxDocs=44218)
                0.009505779 = queryNorm
              0.9171746 = fieldWeight in 2338, product of:
                1.4142135 = tf(freq=2.0), with freq of:
                  2.0 = termFreq=2.0
                6.9177637 = idf(docFreq=118, maxDocs=44218)
                0.09375 = fieldNorm(doc=2338)
          0.64154714 = weight(abstract_txt:hashtag in 2338) [ClassicSimilarity], result of:
            0.64154714 = score(doc=2338,freq=1.0), product of:
              0.70179313 = queryWeight, product of:
                7.571349 = boost
                9.7509775 = idf(docFreq=6, maxDocs=44218)
                0.009505779 = queryNorm
              0.9141542 = fieldWeight in 2338, product of:
                1.0 = tf(freq=1.0), with freq of:
                  1.0 = termFreq=1.0
                9.7509775 = idf(docFreq=6, maxDocs=44218)
                0.09375 = fieldNorm(doc=2338)
        0.16 = coord(4/25)
    
  4. Zimmer, M.; Proferes, N.J.: ¬A topology of Twitter research : disciplines, methods, and ethics (2014) 0.21
    0.21016997 = sum of:
      0.21016997 = product of:
        0.8757082 = sum of:
          0.009892678 = weight(abstract_txt:used in 1622) [ClassicSimilarity], result of:
            0.009892678 = score(doc=1622,freq=2.0), product of:
              0.03331733 = queryWeight, product of:
                1.0433592 = boost
                3.3592992 = idf(docFreq=4177, maxDocs=44218)
                0.009505779 = queryNorm
              0.2969229 = fieldWeight in 1622, product of:
                1.4142135 = tf(freq=2.0), with freq of:
                  2.0 = termFreq=2.0
                3.3592992 = idf(docFreq=4177, maxDocs=44218)
                0.0625 = fieldNorm(doc=1622)
          0.011121606 = weight(abstract_txt:design in 1622) [ClassicSimilarity], result of:
            0.011121606 = score(doc=1622,freq=1.0), product of:
              0.045385376 = queryWeight, product of:
                1.2177459 = boost
                3.9207718 = idf(docFreq=2382, maxDocs=44218)
                0.009505779 = queryNorm
              0.24504824 = fieldWeight in 1622, product of:
                1.0 = tf(freq=1.0), with freq of:
                  1.0 = termFreq=1.0
                3.9207718 = idf(docFreq=2382, maxDocs=44218)
                0.0625 = fieldNorm(doc=1622)
          0.032307006 = weight(abstract_txt:trends in 1622) [ClassicSimilarity], result of:
            0.032307006 = score(doc=1622,freq=1.0), product of:
              0.092399314 = queryWeight, product of:
                1.7375331 = boost
                5.5943284 = idf(docFreq=446, maxDocs=44218)
                0.009505779 = queryNorm
              0.34964553 = fieldWeight in 1622, product of:
                1.0 = tf(freq=1.0), with freq of:
                  1.0 = termFreq=1.0
                5.5943284 = idf(docFreq=446, maxDocs=44218)
                0.0625 = fieldNorm(doc=1622)
          0.03272035 = weight(abstract_txt:value in 1622) [ClassicSimilarity], result of:
            0.03272035 = score(doc=1622,freq=2.0), product of:
              0.08466488 = queryWeight, product of:
                2.0370233 = boost
                4.3723974 = idf(docFreq=1516, maxDocs=44218)
                0.009505779 = queryNorm
              0.38646898 = fieldWeight in 1622, product of:
                1.4142135 = tf(freq=2.0), with freq of:
                  2.0 = termFreq=2.0
                4.3723974 = idf(docFreq=1516, maxDocs=44218)
                0.0625 = fieldNorm(doc=1622)
          0.080555215 = weight(abstract_txt:tweets in 1622) [ClassicSimilarity], result of:
            0.080555215 = score(doc=1622,freq=1.0), product of:
              0.16990261 = queryWeight, product of:
                2.3561273 = boost
                7.5860133 = idf(docFreq=60, maxDocs=44218)
                0.009505779 = queryNorm
              0.47412583 = fieldWeight in 1622, product of:
                1.0 = tf(freq=1.0), with freq of:
                  1.0 = termFreq=1.0
                7.5860133 = idf(docFreq=60, maxDocs=44218)
                0.0625 = fieldNorm(doc=1622)
          0.70911133 = weight(abstract_txt:twitter in 1622) [ClassicSimilarity], result of:
            0.70911133 = score(doc=1622,freq=11.0), product of:
              0.4945069 = queryWeight, product of:
                7.5200186 = boost
                6.9177637 = idf(docFreq=118, maxDocs=44218)
                0.009505779 = queryNorm
              1.4339767 = fieldWeight in 1622, product of:
                3.3166249 = tf(freq=11.0), with freq of:
                  11.0 = termFreq=11.0
                6.9177637 = idf(docFreq=118, maxDocs=44218)
                0.0625 = fieldNorm(doc=1622)
        0.24 = coord(6/25)
    
  5. Luo, Z.; Yu, Y.; Osborne, M.; Wang, T.: Structuring tweets for improving Twitter search (2015) 0.18
    0.17859094 = sum of:
      0.17859094 = product of:
        0.8929547 = sum of:
          0.00699518 = weight(abstract_txt:used in 2335) [ClassicSimilarity], result of:
            0.00699518 = score(doc=2335,freq=1.0), product of:
              0.03331733 = queryWeight, product of:
                1.0433592 = boost
                3.3592992 = idf(docFreq=4177, maxDocs=44218)
                0.009505779 = queryNorm
              0.2099562 = fieldWeight in 2335, product of:
                1.0 = tf(freq=1.0), with freq of:
                  1.0 = termFreq=1.0
                3.3592992 = idf(docFreq=4177, maxDocs=44218)
                0.0625 = fieldNorm(doc=2335)
          0.024405736 = weight(abstract_txt:features in 2335) [ClassicSimilarity], result of:
            0.024405736 = score(doc=2335,freq=2.0), product of:
              0.060830615 = queryWeight, product of:
                1.4098076 = boost
                4.5391517 = idf(docFreq=1283, maxDocs=44218)
                0.009505779 = queryNorm
              0.4012081 = fieldWeight in 2335, product of:
                1.4142135 = tf(freq=2.0), with freq of:
                  2.0 = termFreq=2.0
                4.5391517 = idf(docFreq=1283, maxDocs=44218)
                0.0625 = fieldNorm(doc=2335)
          0.1973192 = weight(abstract_txt:tweets in 2335) [ClassicSimilarity], result of:
            0.1973192 = score(doc=2335,freq=6.0), product of:
              0.16990261 = queryWeight, product of:
                2.3561273 = boost
                7.5860133 = idf(docFreq=60, maxDocs=44218)
                0.009505779 = queryNorm
              1.1613665 = fieldWeight in 2335, product of:
                2.4494898 = tf(freq=6.0), with freq of:
                  6.0 = termFreq=6.0
                7.5860133 = idf(docFreq=60, maxDocs=44218)
                0.0625 = fieldNorm(doc=2335)
          0.14052115 = weight(abstract_txt:hashtags in 2335) [ClassicSimilarity], result of:
            0.14052115 = score(doc=2335,freq=1.0), product of:
              0.24620606 = queryWeight, product of:
                2.8362734 = boost
                9.131938 = idf(docFreq=12, maxDocs=44218)
                0.009505779 = queryNorm
              0.5707461 = fieldWeight in 2335, product of:
                1.0 = tf(freq=1.0), with freq of:
                  1.0 = termFreq=1.0
                9.131938 = idf(docFreq=12, maxDocs=44218)
                0.0625 = fieldNorm(doc=2335)
          0.52371347 = weight(abstract_txt:twitter in 2335) [ClassicSimilarity], result of:
            0.52371347 = score(doc=2335,freq=6.0), product of:
              0.4945069 = queryWeight, product of:
                7.5200186 = boost
                6.9177637 = idf(docFreq=118, maxDocs=44218)
                0.009505779 = queryNorm
              1.059062 = fieldWeight in 2335, product of:
                2.4494898 = tf(freq=6.0), with freq of:
                  6.0 = termFreq=6.0
                6.9177637 = idf(docFreq=118, maxDocs=44218)
                0.0625 = fieldNorm(doc=2335)
        0.2 = coord(5/25)