在各類社會網絡模型下區域差異對於疾病與觀念流行傳播問題模擬之影響

Abstract

除了以複雜網路模擬人際互動關係外，區域差異的設計也是為了使社會傳播的模擬環境能夠更貼近真實社會。然而在先前的研究發現不同的區域差異對小世界網路所造成的影響力也不同，例如虛弱個體所占人口比例多寡會影響傳播強度而虛弱個體在社會上的分布範圍則不會。另外早期的研究由於不考慮人際關係因此類似以隨機網路為實驗平台，相較於使用小世界網路探討疾病動態有何不同之處。因此本論文的重點在於分析不同的網路結構以及區域差異對於傳播問題的影響力。並將結果整理成具有影響力的網路結構因素和傳播強度資訊以及不具影響力的細節資訊。

Besides using complex networks in epidemic simulation for unfolding the relationships between human beings, local information mechanism was designed to reveal the differences among people and others to approximate reality. However, previous studies indicate that some local diversity would not affect the simulation result. The population of weak individuals, for example, would cause the difference of simulation, but the distribution of weak individuals would not. Furthermore, we are also interested in the differences between the simulation under the small-world networks and the previous research without considering the relationship as simulation in the random networks. In this paper, we focused on the analysis of various network structures and local information, and conclude some reasons that might influence the epidemic simulations.