本研究最主要的目的在於利用物理上因為熱力系統而產生的玻色-愛因斯坦凝聚現象，透過一質化的轉換，將物理上凝聚現象的意義對應到社會系統中的爆紅現象。 並建構一有一般大眾、專家社群成員的ABM模型(Agent Based Model)，分成三大模型：BB、BBTA無學習、BBTA有學習，並以實驗模擬方式操弄相關參數，最後將模擬結果推測現實社會中可能發生的現象。 研究結果發現，社會氛圍為主導爆紅現象發生的主要因素，社會創作活力的作用則較不明顯。而社群成員的加入對於促成社會上發生爆紅現象帶有一定的作用，又以專家社群早期進入社會、社群成員大量加入且大規模學習時的幫助最大，但對社群本身會產生彼此爭奪人氣的負面作用；在觀察社會中領先者競爭的情況下，專家社群所扮演的角色即可有可無，關鍵影響角色仍為社會氛圍。 在社會氛圍濃厚且社會創作活力高的社會情境下是專家社群最有機會取得領導地位的情況，此時若搭配社群成員小規模的學習，可進一步提升社群取得領導者地位的比率。透過模擬觀察希望能夠提供作品於不同社會情境下對於發生爆紅現象之可能性，以供實務預測及參考。 The main purpose of this research is to use the Bose-Einstein Condensation to observe the Meme phenomenon in social system. In this research will have three basic model named BB model, BBTA (no learning) model and BBTA (with learning) model. Through manipulation different parameters to stimulate and forecast what will happen in the real social system under different system hypothesis. The stimulation results show that social atmosphere is the main factor and dominate the timing for emergent of the Meme phenomenon, and social creativity has less effect by comparison. Numbers of team member joining will also takes effect in help the Meme phenomenon materializes, especially when the expert community joins the social system in the early time with large numbers of the team member and with large-scale learning. But in the same case, it will also bring the negative effect like let the members of the community compete for popularity drastically. In the case of dense social atmosphere and high social creativity has the highest opportunity for expert community to get the leading position. Besides, if the community with the small-scale learning will increase probability of the expert community gets the leading position. This research is trying to rely on stimulation results offer different suggestions for products in different social atmosphere and social creativity, and hope that can provides the practitioners chance to predict and consult.
