The Evaluation of Web Contents by User ‘Likes’ Count: An Usefulness of hT-index for Topic Preference Measurement

송예슬; 박지홍 (Ji-Hong Park); 심지영 (Jiyoung Shim)

doi:10.4275/KSLIS.2015.49.2.027

The Evaluation of Web Contents by User ‘Likes’ Count: An Usefulness of hT-index for Topic Preference Measurement

Journal of the Korean Society for Library and Information Science
2015, 49(2), pp.27-49
DOI : 10.4275/KSLIS.2015.49.2.027
Publisher : 한국문헌정보학회
Research Area : Interdisciplinary Studies > Library and Information Science

송예슬 ¹, Ji-Hong Park ¹, Jiyoung Shim ¹

¹연세대학교

Accredited

ABSTRACT

The purpose of this study is to suggest an appropriate index for evaluating preferences of Web contents by examining the h-index and its variants. It focuses on how successfully each index represents relative user preference towards topical subjects. Based on data obtained from a popular IT blog (engadget.com), subject values of the h-index and its variants were calculated using 53 subject categories, article counts and the ‘Likes’ counts aggregated in each category. These values were compared through critical analysis of the indices and Spearman rank correlation analysis. A PFNet (Pathfinder Network) of subjects weighted by hT values was drawn and cluster analysis was conducted. Based on the four criteria suggested for the evaluation of Web contents, we concluded that the hT-index is a relatively appropriate tool for the Web contents preference evaluation. The hT-index was applied to visually represent the relative weight (topic preference by user ‘Likes’ count) for each subject category of the real online contents after suggesting the relative appropriateness of the hT-index. Applying scientometric indicators to Web information could provide new insights into, and potential methods for, Web contents evaluation. In addition, information on the focus of users’ attention would help online informants to plan more effective content strategies. The study tries to expand the application area of the h-type indices to non-academic online environments. The research procedure enables examination of the appropriateness of the index and highlights considerations for applying the indicators to Web contents.

KEYWORDS

Web Contents Evaluation, Preference Measurement, Tapered h-index, hT-index, h-type Indices

Citation status

* References for papers published after 2023 are currently being built.

[journal] Alonso, S. / 2009 / h-Index : A review focused in its variants, computation and standardization for different scientific fields / Journal of Informetrics 3(4) : 273~289

[journal] Alonso, S. / 2010 / hg-index : A new index to characterize the scientific output of researchers based on the h-and g-indices / Scientometrics 82(2) : 391~400

[journal] Anderson, T. R. / 2008 / Beyond the Durfee square : Enhancing the h-index to score total publication output / Scientometrics 76(3) : 577~588

[journal] Batista, P. D. / 2006 / Is it possible to compare researchers with different scientific interests? / Scientometrics 68(1) : 179~189

[journal] Bornmann, L. / 2008 / Are there better indices for evaluation purposes than the h index? A comparison of nine different variants of the h index using data from biomedicine / Journal of the American Society for Information Science and Technology 59(5) : 830~837

[journal] Egghe, L. / 2006 / An improvement of the H-index : the G-index / ISSI newsletter 2(1) : 8~9

[journal] Egghe, L. / 2010 / The Hirsch index and related impact measures / Annual review of information science and technology 44(1) : 65~114

[journal] Eppler, M. J. / 2004 / The concept of information overload : A review of literature from organization science, accounting, marketing, MIS, and related disciplines / The information society 20(5) : 325~344

[journal] Guan, J. C. / 2009 / Exploring the h-index at patent level / Journal of the American Society for Information Science and Technology 60(1) : 35~40

[journal] Harzing, A. W. / 2009 / A Google Scholar h-index for journals : An alternative metric to measure journal impact in economics and business / Journal of the American Society for Information Science and Technology 60(1) : 41~46

[journal] Hirsch, J. E. / 2005 / An index to quantify an individual’s scientific research output / Proceedings of the National academy of Sciences of the United States of America 102(46) : 16569~16572

[journal] Hovden, R. / 2013 / Bibliometrics for Internet media : Applying the h-index to YouTube / Journal of the American Society for Information Science and Technology 64(11) : 2326~2331

[journal] Hua, P. H. / 2010 / A perfect Hirsch-type index? Experiences using the tapered h-index(hT) / Chinese Journal of Scientific and Technical Periodicals 21(1) : 33~37

[journal] Jin, B. / 2006 / H-index : an evaluation indicator proposed by scientist / Science Focus 1(1) : 8~9

[journal] Jin, B. / 2007 / The R-and AR-indices : Complementing the h-index / Chinese science bulletin 52(6) : 855~863

[journal] Kevin, L. / 2008 / Tastes, ties, and time : A new social network dataset using Facebook. com / Social Networks 30(4) : 330~342

[journal] Kim, P. J. / 2009 / Developing a new collection evaluation method : Mapping and the user-side h-index / Journal of the American Society for Information Science and Technology 60(11) : 2366~2377

[journal] 이재윤 / 2006 / A novel clustering method for examining and analyzing the intellectual structure of a scholarly field / 정보관리학회지 / 한국정보관리학회 23(4) : 215~231

[confproc] McCreadie, R. M. C. / 2010 / Personalization and Fusion of Heterogeneous Information / Proceedings of the RIAO '10 Adaptivity, LE CENTRE DE HAUTES ETUDES INTERNATIONALES D’INFORMATIQUE DOCUMENTAIRE : 40~48

[journal] Rousseau, R. / 2008 / Reflections on recent developments of the h-index and h-type indices / COLLNET Journal of Scientometrics and Information Management 2(1) : 1~8

[confproc] Shin, H. / 2009 / Ranking user-created contents by search user’s inclination in online communities / Paper presented at the Proceedings of the 18th international conference

[confproc] Shuai, X. / 2012 / Improving news ranking by community tweets / WWW '12 Companion Proceedings of the 21st international conference companion / ACM : 1227~1232

[journal] Timian, A. / 2013 / Do Patients Like Good Care? Measuring Hospital Quality via Facebook / American Journal of Medical Quality

[journal] Van Raan, A. F. / 2006 / Comparison of the Hirsch-index with standard bibliometric indicators and with peer judgment for 147 chemistry research groups / scientometrics 67(3) : 491~502

[confproc] Wang, C. / 2008 / Automatic online news topic ranking using media focus and user attention based on aging theory / CIKM '08 Proceedings of the 17th ACM conference on Information and knowledge management / ACM : 1033~1042

[journal] White, H. D. / 2003 / Pathfinder networks and author cocitation analysis : A remapping of paradigmatic information scientists / Journal of the American Society for Information Science and Technology 54(5) : 423~434

[confproc] Wiyartanti, L. / 2008 / A ranking algorithm for user-generated video contents based on social activities / Paper presented at the Digital Information Management, ICDIM 2008. Third International Conference

This paper was written with support from the National Research Foundation of Korea.

KJCKorea
Journal Central

Journal of the Korean Society for Library and Information Science 2023 KCI Impact Factor : 0.84

The Evaluation of Web Contents by User ‘Likes’ Count: An Usefulness of hT-index for Topic Preference Measurement

ABSTRACT

KEYWORDS

Citation status

* References for papers published after 2023 are currently being built.

Journal of the Korean Society for Library and Information Science 2023 KCI Impact Factor : 0.84

The Evaluation of Web Contents by User ‘Likes’ Count: An Usefulness of hT-index for Topic Preference Measurement

ABSTRACT

KEYWORDS

Statistics

Tools

Issue List

Citation status

KCI Citation Counts (0)

REFERENCES (27) * References for papers published after 2023 are currently being built.

Search PDF

Citation

* References for papers published after 2023 are currently being built.