請用此 Handle URI 來引用此文件:
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/28167
完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 吳家麟(Ja-Ling Wu),黃肇雄(Jau-Hsiung Huang) | |
dc.contributor.author | Yung-Huan Hsieh | en |
dc.contributor.author | 謝永桓 | zh_TW |
dc.date.accessioned | 2021-06-13T00:02:00Z | - |
dc.date.available | 2017-12-31 | |
dc.date.copyright | 2007-07-31 | |
dc.date.issued | 2007 | |
dc.date.submitted | 2007-07-30 | |
dc.identifier.citation | [1] Song, X. and Tseng, B.L. and Lin, C.Y. and Sun, M.T. Personalized Recommendation Driven by Information Flow. Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval, 2006.
[2] Song, X. and Lin, C.Y. and Tseng, B.L. and Sun, M.T. Modeling and predicting personal information dissemination behavior. Conference on Knowledge Discovery in Data, 2005. [3] http://arxiv.org/corr/home [4] http://ieeexplore.ieee.org/Xplore/dynhome.jsp [5] http://micans.org/mcl/lit/index.html [6] Robert A. Hanneman and Mark Riddle. Introduction to social network methods. http://faculty.ucr.edu/~hanneman/nettext/ [7] http://en.wikipedia.org/wiki/Borda_count [8] Wasserman, S. and Faust, K. Social Network Analysis: methods and applications. Cambridge University Press, 1994. [9] Scott, J. Social Network Analysis: A Handbook. Sage Publications, 2000. [10] NEWMAN, MEJ. From the cover: the structure of scientific collaboration networks. Proceedings of the National Academy of Sciences, USA, 2001. [11] Hanneman, R.A. Introduction to Social Network Methods. University of California, Riverside, Department of Sociology, 2001. [121 L. Barabási, H. Jeonga, Z. Nédaa, E. Ravasza, A. Schubertd and T. Vicsekb. Evolution of the social network of scientific collaborations. Physica A. Statistical Mechanics and its Applications, 2002. [131 Persson 0, Beckmann M. Scientometrics 1995;33:351—366. [141 Eysenbach, G. and Diepgen, T. L. Towards quality management of medical information on the Internet: Evaluation, labelling, and filtering of information. British Medical Journal, 1998. [15j Noruzi, A. Google Scholar: The New Generation of Citation Indexes. Libri, 2005. [161 IEEE Xplore. http://ieeexplore.ieee.org/Xplore/dynhome. isp [171 ACM Portal. http://acm.protal.org [181 G. Adomavicius and A. Tuzhilin. Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions. IEEE Transactions on Knowledge and Data Engineering, Vol. 17, No. 6, June 2005. [191 J. Wang, J. Rouwelse, R. L. Lagendijk and M. J.T. Reinders. Distributed Collaborative Filtering for Peer-to-Peer File Sharing Systems. SAC, 2006. [201 K. Yu, A. Schwaighofer, V. Tresp, X. Xu and H. P. Kriegel. Probabilistic Memory-Based Collaborative Filtering. IEEE Transactions on Knowledge and Data Engineering, Vol. 16, No. 1, Jan 2004. | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/28167 | - |
dc.description.abstract | 本論文利用網路上公開的學術資料,建立描述研究人員間學術關係之社群網路,以此網路模型進行幾個問題的分析:首先探討研究人員與研究領域間之關係,接著以此分析研究人員間學術關係。根據這些分析的結果,本論文建立了一套學術推薦系統(Academic Net Recommendation System),自動分析出跟各研究人員學術上最為相關的學者。最後利用這套系統,以台大資訊工程學系的現任教師為例,建立教師間在資訊科學領域的學術網路,找出學術上與個人最為相關的教師群。 | zh_TW |
dc.description.abstract | In this paper, based on the public academic information, we establish the academic network of researchers, which describes the relations between the academic identities. After analyzing and explaining, there are some phenomenon in this network model : First we explore the metaphor between researchers and research area. The result helps us analyzing the academic staff relations afterward. Based on these filtered network graphs, we set up an Academic Net Recommendation System as application. The recommendation system automatically answers us that the most relevant academic scholars with some chosen researcher. Finally, apply this system to the group of the professors, who take office at Computer Science Information Engineering of National Taiwan University as examples. We establish the academic network of teachers in the field of Computer Science, for recognizing the most relevant teachers group to each professor | en |
dc.description.provenance | Made available in DSpace on 2021-06-13T00:02:00Z (GMT). No. of bitstreams: 1 ntu-96-R94944001-1.pdf: 13785398 bytes, checksum: 963122e19ce24c8a956521883939cea0 (MD5) Previous issue date: 2007 | en |
dc.description.tableofcontents | 第一章、 緒論 1
第一節、 研究動機 2 第二節、 論文架構說明 3 第二章、 相關研究 4 第一節、 社會網路(Social Network) 4 第二節、 學者搜尋(Scholar Search) 5 第三節、 推薦系統(Recommendation System) 6 第三章、 學術社群網路(Academic Net) 7 第一節、 系統發想 8 第二節、 系統概述 8 3?2-1、 建立網路模型 8 3?2-2、 系統流程圖 12 第三節、 流程介紹 13 3?3-1、 匯集網路資源 (Web Page Gathering) 13 3?3-2、 網頁資訊篩選(Web Page Parsing) 13 3?3-3、 建立學術社群網路 14 第四節、 實作系統 15 3?4-1、 資料來源 15 3?4-2、 社群網路模型 16 3?4-3、 實作系統流程 16 第五節、 實驗結果 19 3?5-1、 對研究領域發表論文數 20 3?5-2、 發表論文被引用次數 24 第六節、 總結 27 第四章、 學術網路應用情境及分析系統 28 第一節、 應用情境(Application Scenario) 29 4?1-1、 定義篩選問題 29 4?1-2、 過濾方法 30 4?1-3、 學術社群網路篩選系統(Academic Net Filtering) 32 第二節、 學術網路分析系統 42 4?2-1、 學術社群網路分析系統(Academic Analysis System) 43 4?2-2、 學術網路推薦系統(Academic Net Recommendation System) 47 第三節、 總結 51 第五章、 結論與未來展望 52 第一節、 結論 52 第二節、 未來展望 53 參考文獻 54 | |
dc.language.iso | zh-TW | |
dc.title | 基於公開資源之學術社群網路分析 | zh_TW |
dc.title | Public Resources based Social Network Analysis
for Academic Communities | en |
dc.type | Thesis | |
dc.date.schoolyear | 95-2 | |
dc.description.degree | 碩士 | |
dc.contributor.advisor-orcid | ,黃肇雄(jau@csie.ntu.edu.tw) | |
dc.contributor.oralexamcommittee | 徐宏民(Winston Hsu),陳炳宇(Bing-Yu Chen) | |
dc.subject.keyword | 社群網路,學術搜尋, | zh_TW |
dc.subject.keyword | social network,scholar search, | en |
dc.relation.page | 55 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2007-07-31 | |
dc.contributor.author-college | 電機資訊學院 | zh_TW |
dc.contributor.author-dept | 資訊網路與多媒體研究所 | zh_TW |
顯示於系所單位: | 資訊網路與多媒體研究所 |
文件中的檔案:
檔案 | 大小 | 格式 | |
---|---|---|---|
ntu-96-1.pdf 目前未授權公開取用 | 13.46 MB | Adobe PDF |
系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。