Please use this identifier to cite or link to this item:
https://ah.lib.nccu.edu.tw/handle/140.119/63710| 題名: | Flickr網站上世界商務城市之情感輪廓 Emotional Contours of the Commerce Cities on the Website Flickr |
作者: | 馮成發 Fong, Chen Fa |
貢獻者: | 劉吉軒 Liu, Jyi Shane 馮成發 Fong, Chen Fa |
關鍵詞: | Flickr NodeXL 社群網站 城市 相片 顯著標籤 情緒標籤 Flickr NodeXL social website cities photo significant tag emotion tag |
日期: | 2013 | 上傳時間: | 10-Feb-2014 | 摘要: | 近年來電腦科學的進步只能以一日千里來形容，不管在軟體或是硬體方面都有驚人的發展，軟體方面有網際網路Web 2.0技術的興盛及普及，使得人們在分享及交流資訊更加快速且便利，硬體方面則有數位相機和有照相功能智慧型手機的發明，造就了分享資訊很快的從文字模式演變成影音、相片等多媒體模式。Flickr社群網站為目前網路世界裡最重要的相片分享平台，每個人都可以將生活中擁有喜、怒、哀、樂情緒的相片上傳至該網站上與他人分享，而且此網站平台也提供下標籤功能，讓上傳者可以更正確的傳達要分享的情感。如當相片被加註上快樂的標籤，也就代表上傳者對這張相片當時的環境情緒反應為愉快、或甚至於興奮，相反地；當相片被加註上生氣的標籤，就表示該相片給上傳者的情緒反應是不愉快的、或甚至於憤怒。當同一區域(如城市)透過大量情感標籤的累積，自然而然就會呈現出該區域的情感輪廓。\n\n 情緒議題的研究近年來在各知識領域中已被廣泛的討論著，但針對區域性的情緒表現之研究探討似乎還不多。本研究藉由Flickr社群網站的全球性特質，結合Derudder and Taylor兩位學者於2005年提出的「The cliquishness of world cities」研究報告，定義出41個商務活動頻繁城市作為本研究的研究範圍，並應用Flickr社群網站上強大又完整的API介面功能，撰寫Client端程式擷取這些城市在Flickr網站上有加註情緒標籤的相片數共761,854張、其相關的標籤數有21,569,593個，再經由本研究提出的研究方法及步驟，逐一處理這些各城市相片上傳者所加註的大量標籤，就可以找出每個城市各情感象限數量最多的前30個標籤當作顯著標籤。\n\n 最後本研究綜合分析從Flickr網站上取得的大量城市、相片、及顯著標籤相關資料，分別計算出每個城市正負向情感象限的強度百分比，再以正向情感象限強度百分比為基準，定義出這些商務活動頻繁城市的「快樂指數」數值；並利用社會網絡分析軟體NodeXL來觀察各城市、情感性標籤與顯著標籤所呈現的網絡關係。 In recent years, the computer science progress is extremely fast, whether in software or hardware has an alarming growth. The software aspect has the Internet Web 2.0 technology prosperity and popular, causes the people in share and exchange information are faster and convenient. The hardware aspect has the digital cameras and the smartphones invention, causes the share information from the writing pattern to the multimedia patterns very quickly. The Flickr social website is the most important of shared photograph in the network world for currently,everyone can shared the joy, anger, sadness, happy mood photograph by uploading to this website. This website platform also provides the tagging function, lets the uploader can more correct transmission their emotion. When the identical region (such as a city) through a large number of emotional labels cumulatively, naturally will be showing the emotional contours of the region.\n Emotional issues have been widespread discussion in various area of knowledge in recent years, but research the performance of emotion for region seems not much. This research because of Flickr social website global special characteristic, combined Derudder and Taylor two scholars to propose "The cliquishness of world cities" research reports in 2005, Defines 41 economics and trade activity frequent city to take this research the study scope.\n Finally, this research made a comprehensive analysis by a large number of cities, photos, and significant label information from the Flickr website, and calculates the percentage of each city to the strength of positive and negative emotions quadrant.Then the percentage of positive emotional intensity as a benchmark quadrant, Defines these economics and trade activity frequent city`s "happiness index". |
參考文獻: | Batra, R., & Stayman, D.M. (1990). The Roll of Mood in Advertising Effectiveness, Journal of Consumer Research, 17 (September), 203-214.\nColeman, J.S. (1990). Foundations of Social Theory. Cambridge MA. Harvard University Press.\nDerudder, B., & Taylor, P. (2005). The Cliquishness of World Cities. Global Networks: A Journal of Transnational Affairs, Vol. 5, No. 1:71-91.\nFreeman, L.C. (1979). Centrality in social networks: conceptual clarification. Social Networks, 1 : 215-239.\nGardner, M.P. (1985). Mood States and Consumer Behavior: A Critical Review. Journal of Consumer Research, vol. 12（December）, 281-300.\nGolder, S.A., & Huberman, B.A. (2006). The Structure of Collaborative Tagging Systems. Journal of Information Science 32, 198-208.\nHammond, T., Hannay, T., Lund, B., & Scott, J. (2005). Social bookmarking tools (i). D-Lib Magazine, 11(4), 1082-9873.\nIzard, C.E. (1977). Human emotions. New York: Plenum.\nKipp, M.E. (2006). Exploring the context of user, creator and intermediate tagging in IA Summit 2006, Vancouver, Canada.\nLange, P.G. (2007). Publicly Private and Privately Public: Social Networking on YouTube. Journal of Computer-Mediated Communication, Vol. 13, No. 1, pp.361-380.\nMarlow, C., Naaman, M., Boyd, d., & Davis, M. (2006). Position Paper, Tagging, Taxonomy, Flickr, Article, Toread. Proceedings of the Conference on Collaborative Web Tagging Workshop at WWW 2006, Edinburgh, United Kingdom.\nMathes, A. (2004). Folksonomies-Cooperative Classification and Communication Through Shared Metadata. Technical Report. LIS590CMC, Computer Mediated Communication, Graduate School of Library and Information Science, University of Illinois, Urbana-Champaign.\nMehrabian, A., & Russell, J.A. (1974). An Approach to Environmental Psychology. MIT Press\nMitchell, J.C. (1969). The concept and use of social networks in Mitchell, J.C.(ed.): Social networks in urban settings, Manchester, Manchester U.P.\nPlutchik, R. (1980). A Strutural Model of Emotion. In Emotion：A Psycho evolutionary Synthesis, pp.152-172, New York, Harper and Row Publishers\nQuintarelli, E., Rosati, L., & Resmini, A. (2006). Facetag: Integrating bottom-up and top-down classification in a social tagging system.\nRussell, J.A. (1980). A Circumplex Model of Affect. Journal of Personality and Social Psychology, 39(December), 1161-1178\nRussell, J.A., & Pratt, G. (1980). A Description of The Affective Quality Attributed to Environments. Journal of Personality and Psychology, Vol.38, No.2, pp.311-322\nSen, S., Lam, S.K., Rashid, A.M., Cosley, D., Frankowski, D., Osterhouse, J., Harper, F.M., & Riedl, J. (2006). Tagging, communities, vocabulary, evolution. Proceedings of the 20th Anniversary Conference on Computer Supported Cooperative Work, November 4-8, 2006, Banff, Alberta, Canada.\nSmith, G. (2008). Tagging: People-Powered Metadata for the Social Web. San Francisco：New Rider Press.\nTapscott, D., & Williams, A.D. (2006). Wikinomics: How mass collaboration changes everything. New York: Portfolio.\nWartburg, I.V., Teichert, T., & Rost, K. (2005). Inventive progress measured by multi- stage patent citation analysis. Research Policy, 34:1591–1607.\nWasserman, S., & Faust, K. (1994). Social Network Analysis. Methods and Applications. Cambridge. Cambridge University Press.\n卜小蝶（民91）。使用者導向之圖書分類關聯分析研究。圖書資訊學刊，第七期，第81-94頁。\n卜小蝶（民96）。Folksonomy 的發展與應用。國立成功大學圖書館館刊，第十六期，第1-7頁。\n林正偉（民97）。Web2.0環境下以大眾分類法為基礎之知識收藏推薦系統。國立高雄第一科技大學資訊管理系碩士論文，未出版，高雄市。\n林宸均（民100）。網路圖像標籤標記行為初探-以網路相簿Flickr圖像標籤為例。國立台東大學教育學系教學科技碩士論文，未出版，台東縣。\n林慶文（民96）。以大眾分類法為基礎之網站內容分類架構－以社群書籤網站為例。中原大學資訊管理學系碩士論文，未出版，桃園縣。\n吳筱玫、周芷伊（民98）。Tagging的分類與知識意涵：以flickr首頁圖片為例。新聞學研究第九十九期。\n李麗華、許榮望、李富民、黃煜紘、陳志瑋等（民101）。網路標籤變化研究之初探-以台灣熱門網站為例。資訊科技國際期刊第六卷第二期。\n張春興（民81）。現代心理學。台北：三民書局。\n張淇龍、卜小蝶（民95）。淺談 Web 2.0 與通俗分類法於圖書資訊服務之應用。圖書與資訊學刊，第五十七期，第74-93頁。\n情緒心理學 (游恆山編譯)（民92）。台北：五南出版社。(原著出版年﹕1987年)。\n彭聲揚（民100）。透過圖片標籤觀察情緒字詞與事物概念之關聯。國立政治大學資訊科學系碩士論文，未出版，台北市。\n楊國樞、張春興（民82）。心理學。台北：三民書局。\n楊雅婷（民95）。網路資源使用者之標記行為研究：以社會性書籤系統為例。世新大學資訊傳播學研究所碩士論文，未出版，台北市。\n盧韋伶（民99）。業餘攝影愛好者之網路圖像分享網站使用與標記行為研究。國立臺灣師範大學圖書資訊學研究所碩士論文，未出版，台北市。 | 描述: | 碩士 國立政治大學 資訊科學學系 99971016 102 |
資料來源: | http://thesis.lib.nccu.edu.tw/record/#G0099971016 | 資料類型: | thesis |
| Appears in Collections: | 學位論文 |
Files in This Item:
| File | Size | Format | |
|---|---|---|---|
| 101601.pdf | 5.07 MB | Adobe PDF2 | View/Open |
Google ScholarTM
Check
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.