研究生: |
沈俊佑 Chun-Yu Shen |
---|---|
論文名稱: |
部落格衡量指標建構研究─以中文部落格為例 BLOG Metrics Construction Research─Used Chinese BLOG for Example |
指導教授: |
王俊程
Jyun-Cheng Wang |
口試委員: | |
學位類別: |
碩士 Master |
系所名稱: |
科技管理學院 - 科技管理研究所 Institute of Technology Management |
論文出版年: | 2006 |
畢業學年度: | 94 |
語文別: | 中文 |
論文頁數: | 98 |
中文關鍵詞: | 部落格 、社會網路分析 、文獻計量學 、網站測量 、因素分析 、指標建立 |
外文關鍵詞: | BLOG, Social Network Analysis, Bibliometrics, Website Metrics, Factor Analysis, Metrics Building |
相關次數: | 點閱:4 下載:0 |
分享至: |
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論文摘要
BLOG,中文稱為部落格是指一種可以由特殊網誌程式維護,且內容依日期由新至舊排列的個人網誌,網上日誌或手札。它簡單易用的特性讓使用者能夠很容易的建立自己的線上分享空間。利用BLOG,人們可以很輕鬆的在網路上分享經驗、評論時事、抒發心情。再加上其所具備的溝通能力,更允許使用者與網友做情感及意見上的互動。
有鑑於目前BLOG普遍缺乏一有效且客觀的評量方式。本研究擬從根本著手,探索BLOG組成元件,並依各元件不同的特性結合文獻計量學、社會關係網路學和一般網站測量等理論學說後,建構出一套BLOG衡量指標。以期能有效且公正地反映出BLOG網站的獨特性。
本研究以台灣地區使用量最多的BLOG系統:「無名小站」作為研究的母體。從中選取「美食」及「文字」兩大分類各200個BLOG網站為研究樣本來進行研究變數的搜集。在方法的選用上,則採用一般指標研究最常見的因素分析法將多個變數歸納出較大的構念(指標)。
研究結果發現,原先所蒐集的18個BLOG相關變數經因素分析後大致上可分為三大指標;「BLOG人氣」、「內容豐富度」和「BLOG網路中心性」。不同分類的BLOG其所歸納出的指標差異不大。這樣的結果不但能讓使用者更清楚的了解BLOG網站特性,更對其他類似BLOG影響力、BLOG排名的研究提供了有力的理論基礎。
Abstract
Weblogs, or “blogs,” are personal online diaries managed by easy-to-use software packages that allow single-click publishing of daily entries. Through BLOG, people can share their experience, comment the news and express their emotions in the network easily. Besides, it has communication function that would allow user to do more interactionswith others.
This research explored the BLOG site basically, and found out those important components of BLOG. Then we used three kinds of theories named Bibliometrics, Social Network Analysis and Website Metrics to combine and explain these BLOG components. Finally, we built a suite of BLOG Metrics that can express the characteristics of BLOG site correctly and effectively.
This research focused on Taiwanese BLOG sites and choosed the biggest BLOG services provider, “www.wretch.cc” to collect research samples. We got 400 BLOG sites included two different categories “Words” and “Food” to execute the factor analysis model.
The result of analysis shows that there are three factors;”BLOG popularity”, “abundant content”and “BLOG network centrality” can be induced from 18 BLOG variables. Different category of BLOG has similar classified result. This research could not only let users know BLOG sites more clearly, but provide a powerful theoretical basis for other related BLOG research.
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