Abstract
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.