本論文想設計一種客製化、社群導向的社群貢獻度運用在社群網路。社群貢獻度是基於WeOS平台上的個人化貢獻度而來。而個人化貢獻度是基於使用者在網路中的行為和評價而來。 在網路上一般評分是全域的(global),所有人看到的分數都相同,沒辦法有個人化差異,而個人化貢獻度有個人化差異,但是計算量大,社群貢獻度則在兩者中間。 本論文想把社群貢獻度運用在WeOS平台上。WeOS平台是一個以P2P(Peer-to-Peer)架構為主的網頁平台。在平台上可以使用自己或別人所提供如討論區等各種服務。 本論文利用模擬資料以分散式架構來模擬計算社群貢獻度,資料集分成不同使用者人數計算時間,最後設計出一個可運用之社群貢獻度應用在社群網路。 ;This thesis wants to design a community-oriented credit s on social network platform. The community-oriented credit is based on the personalized credit on WeOS platform. The personalized credit is based on actions and reputations on the internet. Reputations on the internet are global. All people see the same score. It does not have personalized difference. Personalized credit has personalized difference. But has heavy computation. Community-oriented credit is between both. This thesis wants to apply a community-oriented credit on WeOS platform.The WeOS platform is a web platform based on P2P (Peer-to-Peer) structure.On the platform, users can use many service such as forum provided by themself or other people. This thesis use the simulating data to compute community-oriented credit with distributed structure. The dataset is divided by different number of user to compute time. Finally, the thesis designs a community-oriented credit that can work on social network platform.