Browse > Article
http://dx.doi.org/10.3743/KOSIM.2014.31.4.161

An Analysis of Related Movie Information Using The Co-Word Method  

Choi, Sanghee (대구가톨릭대학교 도서관학과)
Publication Information
Journal of the Korean Society for information Management / v.31, no.4, 2014 , pp. 161-178 More about this Journal
Abstract
Recently, many information services allow users to collaborate to produce and use information. Sharing information is also important for users who have similar taste or interest. As various channels are available for users to share their experiences and knowledge, users' data have also been accumulated within the information services. This study collected movie lists made by users of IMDB service. Co-word analysis and ego-centered network analysis were adapted to discover relevant information for users who chose a specific movie. Three factors of movies including movie title, director and genre were used to present related movie information. Movie title is an effective feature to present related movies with various aspects such as theme or characters and the popularity of directors affects on identifying related directors. Genre is not useful to find related movies due to the complexity in the topic of a movie.
Keywords
informetric analysis; co-word analysis; network analysis; user recommendation; ego-centered network;
Citations & Related Records
Times Cited By KSCI : 11  (Citation Analysis)
연도 인용수 순위
1 강범일, 박지홍 (2013). 프로파일링 분석과 동시출현단어분석을 이용한 한국어교육학의 정체성분석. 정보관리학회지, 30(4), 195-213. http://dx.doi.org/10.3743/KOSIM.2013.30.4.195(Kang, B., & Park, J. (2013). Profiling and co-word analysis of teaching Korean as a foreign language domain. Journal of the Korean Society for Information Management, 30(4), 195-213.)
2 김상화, 오병화, 김문종, 양지훈 (2012). 협력적 필터링과 콘텐츠 정보를 결합한 영화 추천 알고리즘. 정보과학회논문지: 소프트웨어 및 응용, 39(4), 261-268.(Kim, S., Oh, B., Kim, M., & Yang, J. (2012). A movie recommendation algorithm combining collaborative filtering and content information. Journal of KIISE: Software and Application, 39(4), 261-268.)   과학기술학회마을
3 김판준, 이재윤 (2007). 연구 영역 분석을 위한 디스크립터 프로파일링에 관한 연구. 정보관리학회지, 24(4), 285-303. http://dx.doi.org/10.3743/KOSIM.2007.24.4.285(Kim, P. J., & Lee, J. Y. (2007). Descriptor profiling for research domain analysis. Journal of the Korean Society for Information Management, 24(4), 285-303.)
4 김하진, 송민 (2014). 동시출현단어 분석을 통한 국내외 정보학학회지 연구동향 파악. 정보관리학회지, 31(1), 99-118. http://dx.doi.org/10.3743/KOSIM.2014.31.1.099(Kim, H. J., & Song, M. (2014). A study on the research trends in domestic/ international information science articles by co-word analysis. Journal of the Korean Society for Information Management, 31(1), 99-118.)
5 서선경, 정은경 (2013). 동시출현단어 분석기반 오픈 액세스 분야 지적구조에 관한 연구. 한국비블리아학회지, 24(1), 207-227. http://dx.doi.org/10.14699/kbiblia.2013.24.1.207(Seo, S. K., & Chung, E. K. (2013). Domain analysis on the field of open access by co-word analysis. Journal of Korean Biblia Society for Library and Information Science, 24(1), 207-227.)   DOI   ScienceOn
6 이재윤 (2006). 지적구조 분석을 위한 새로운 클러스터링 기법에 관한 연구. 정보관리학회지, 23(4), 215-231. http://dx.doi.org/10.3743/KOSIM.2006.23.4.215(Lee, J. Y. (2006). A novel clustering method for examining and analyzing the intellectual structure of a scholarly field. Journal of the Korean Society for Information Management, 23(4), 215-231.)   DOI
7 이재윤 (2007). 국내 광역 과학 지도 생성 연구. 정보관리학회지, 24(3), 363-383. http://dx.doi.org/10.3743/KOSIM.2007.24.3.363(Lee, Jae Yun (2007). Making a science map of Korea. Journal of the Korean Society for Information Management, 24(3), 363-383. http://dx.doi.org/10.3743/KOSIM.2007.24.3.363)   과학기술학회마을   DOI
8 이재윤 (2012). 자기 인용 네트워크와 인용 정체성을 이용한 연구자의 연구 이력 분석에 관한 연구. 정보관리학회지, 29(1), 157-174. http://dx.doi.org/10.3743/KOSIM.2012.29.1.157(Lee, J. Y. (2012). Exploring a researcher's personal research history through self-citation network and citation identity. Journal of the Korean Society for Information Management, 29(1), 157-174.)   과학기술학회마을   DOI   ScienceOn
9 이재윤 (2013). tnet과 WNET의 가중 네트워크 중심성 지수 비교 연구. 정보관리학회지, 30(4), 241-264. http://dx.doi.org/10.3743/KOSIM.2013.30.4.241(Lee, Jae Yun (2013). A comparison study on the weighted network centrality measures of tnet and WNET. Journal of the Korean Society for Information Management, 30(4), 241-264. http://dx.doi.org/10.3743/KOSIM.2013.30.4.241)   과학기술학회마을   DOI
10 장령령, 홍현진 (2014). 학술지 중요도와 키워드 순서를 고려한 단어동시출현 분석을 이용한 독서분야의 지적구조 분석. 한국비블리아학회지, 25(1), 295-318. http://dx.doi.org/10.14699/kbiblia.2014.25.1.295(Zhang, L. L., & Hong, H. J. (2014). Examining the intellectual structure of reading studies with co-word analysis based on the importance of journals and sequence of keywords. Journal of Korean Biblia Society for Library and Information Science, 25(1), 295-318.)   과학기술학회마을   DOI   ScienceOn
11 Buter, R. K., & Noyons, E. C. M. (2002). Using bibliometric maps to visualise term distribution in scientific papers, In Proceedings of Sixth International Conference on Information Visualisation, 697.
12 최상희 (2014). 이용자 추천정보를 기반으로 한 가수 이미지 분석. 제21회 한국정보관리학회 학술대회논문집, 7-10.(Choi, S. H. (2014). Analysis of singer's image using user recommended song data, Proceeding of the 21st Annual Conference of Korean Society for Information Management, 7-10.)
13 Astrom, F. (2007). Changes in the LIS research front: Time-sliced cocitation analyses of LIS journal articles, 1990-2004. Journal of the American Society for Information Science and Technology, 58(7), 947-957.   DOI   ScienceOn
14 Bar-Ilan, J. (2008). Which h-index? - A comparison of WoS, Scopus and Google Scholar. Scientometrics, 74(2), 257-271.   DOI
15 Callon, M., Courtial, J.-P., Turner, WA, & Bauin, S. (1983). From translations to problematic networks: An introduction to co-word analysis. Social Science Information, 22, 191-235.   DOI
16 Callon, M., Law, J., & Rip, A. (Eds.) (1986). Mapping the Dynamics of Science and Technology: Sociology of Science in the Real World. London, Macmillan Press.
17 Carrer-Neto, W., Hernandez-Alcaras, M. L.,Valencia-Garcia, R., & Garcia-Sanchez, F. (2012). Social knowledge-based recommender system. Application to the movies domain, Expert Systems with Applications, 39(12), 10990-11000.   DOI
18 Chen, C. (1999). Visualising semantic spaces and author co-citation networks in digital libraries. Information Processing & Management, 35(3), 401-420. http://dx.doi.org/10.1016/S0306-4573(98)00068-5.   DOI   ScienceOn
19 Kant, V., & Bharadwaj, K. K. (2013). Integrating collaborative and reclusive methods for effective recommendations: A fuzzy Bayesian approach. International Journal of Interlligent Systems, 28(11), 1099-1123.   DOI
20 Janssens, F., Leta, J., Glanzel, W., & Moor, B. (2006). Towards mapping library and information science. Information Processing & Management, 42(6), 1614-1642.   DOI   ScienceOn
21 McCain, K. W. (1995). R&D themes in information science: A preliminary co-descriptor analysis, Proceedings of the 5th Biennial Conference of the International Society for Scientometrics and Informetrics. Pine Forest, Il. June 7-10, 275-282.
22 Nebelong-Bonnevie, E., & Freandsen, T. F. (2006). Journal citation identity and journal citation image: A portrait of the Journal of Documentation. Journal of Documentation, 62(1), 30-57.   DOI
23 Ni, J., Zhang, Y., Zhao-Long, H., Song, W., Qiang, G., & Lui, J. (2014). Ceiling effect of online user interests for the movies. Physica A, 402, 134-140.   DOI
24 Pera, M. S., & NG, Y. (2013) A group recommender for movies based on content similarity and popularity. Information Processing and Management, 49(3), 673-687.   DOI
25 Porter, A. L. (2005). QTIP: Quick technology intelligence processes. Technological Forecasting & Social Change, 72, 1070-1081.   DOI
26 Seo, Eun-Gyoung, & Yu, So-Young (2013). Detecting research trends in Korean information science research, 2000-2011. Journal of the Korean Society for Information Management, 30(4), 215-239. http://dx.doi.org/10.3743/KOSIM.2013.30.4.215   과학기술학회마을   DOI
27 Todorov, R. (1992). Displaying content of scientific journals: A co-heading analysis. Scientometrics, 23(2), 319-334.   DOI
28 White, H. D. (2000). Toward ego-centered citation analysis. In B. Cronin, & H.B. Atkins(Eds.). The web of knowledge: A festschrift in honor of Eugene Garfield (pp. 475-496). Medford, New Jersey: Information Today, Inc.
29 Tsay, M. Y. (2011). A bibliometric analysis and comparison on three information science journals: JASIST, IPM & JOD, 1988-2008. Scientometrics, 89(2), 591-606.   DOI
30 Tseng, Y., Lin, C., & Lin, Y. (2007). Text mining techniques for patent analysis. Information Processing & Management, 43(5), 1216-1247.   DOI   ScienceOn
31 White, H. D., & McCain, K. W. (1998). Visualizing a discipline: An author co-citation analysis of information science, 1972-1995. Journal of the American Society for Information Science, 49(4), 327-355.
32 Zhang, L., Peng, L. F., & Phelan, C. A. (2014). Novel recommendation of user-based collaborative filtering. Journal of Digital Information Management, 12(3), 165-175.