Kim, Laehyun Wiyartanti, Lisa Cho, Hyunchul Han, Yo-Sub Cha, Jeong-Won 2024-01-20T18:34:00Z 2024-01-20T18:34:00Z 2021-09-05 2010-09 1343-4500 https://pubs.kist.re.kr/handle/201004/131135 In the Web 2.0 era, people not only read web contents but upload, view, share, and evaluate all contents on the web. This leads us to introduce a new type of social network that is based on user activity and content meta-data. Moreover, we can determine the quality of related contents using this new social network. Based on this observation, we introduce a ranking algorithm for user-generated video sharing website like YouTube. We make use of pre-analysis over ranking parameters that we offer as key factors in our algorithm computation. Then, we calculate the value of contents, and orders the contents by statistical method. English INT INFORMATION INST Ranking Parameters based on Social Network for User-generated Video Contents Article 1 INFORMATION-AN INTERNATIONAL INTERDISCIPLINARY JOURNAL, v.13, no.5, pp.1667 - 1678 INFORMATION-AN INTERNATIONAL INTERDISCIPLINARY JOURNAL 13 5 1667 1678 scie scopus 000285741700011 Engineering, Multidisciplinary Engineering Article; Proceedings Paper Web 2.0 social network user-generated video contents