利用量化及質性方法監測分析Web 2.0商業生態系統

Monitoring Web 2.0 Business Ecosystem Quantitatively and Qualitatively

劉哲瑋(Che-wei Liu)

指導教授 ： 林福仁

國立清華大學/科技管理學院/科技管理研究所/碩士(2007年)

摘要

Web 2.0在過去三年間經歷了快速成長的階段，同時之間也逐漸的形成一個複雜的商業生態系統。 在商業生態系統中，每家公司會選擇使用合作或競爭的方式來搶奪生態系中經濟資源，這些行為將會直接或間接的影響到整個生態系的發展，也因此使得各公司在這個動態的生態系統中處於一個不穩定的狀態中，而公司在生態系統中的角色也會隨時間而有所變化。
本論文提出了兩個監測系統來分析網路流量、新聞報導及相關的部落格文章，藉此來觀察這個複雜且仍在自我成長中的Web 2.0商業生態系統。第一個系統將著重在公司間關係的建置，以此出發來辨別生態系統中的「基石角色」(Keystone player)及「利基角色」(Niche player)。另一個系統則是利用部落格及流量的變化來觀察系統中每位成員所發生的特殊事件。
本研究所發展的系統稱作Web eco-Watcher將會協助專家找出「基石角色」、「利基角色」及偵測特殊事件。結合生態系統的演進資料、「基石角色」所併購的公司資料、相關的新聞報導及專家本身的背景知識可以協助建立「基石角色」所使用的併購策略；而過濾不顯著的事件將可減低專家在觀察商業生態系統中的公司時所耗費的時間成本。

關鍵字

Web 2.0 ； 商業生態系統 ； 科技監測 ； 關係擷取 ； 事件偵測

並列摘要

During the past three years, the Web 2.0 comes through a rapid growing period, and gradually forms a complicated business ecosystem. Each company collaborates or competes in economic web of relationships directly or indirectly would eventually affect the ecosystem, so the relationships under the ecosystem don’t always keep in a stable condition in the dynamic growing environment. Therefore, the players will change its role during different period of time.
This thesis proposes a monitoring system called Web eco-Watcher to monitor the complicated and self-evolving business ecosystem of Web 2.0 using the observed Web site traffic, news and blog articles. Qualitatively, it extracts the relationships to identify keystone and niche players among business ecosystem of Web 2.0, and quantitatively, it detects special events for each player via the variations of frequency of discussing observed Web site in blogs and its traffic.
The applications of Web eco-Watcher help experts identify the keystone and niche players and detect special events for each player. The composition of knowledge from the evolution of the ecosystem and the news reports on observed companies with background information will specify the acquisition strategy each keystone player exercises. To filter out information on insignificant events will also help reduce the cost on monitoring the players within the ecosystem.

並列關鍵字

Web 2.0 ； Business Ecosystem ； Technology Monitoring ； Relation Extraction ； Event Detection

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