建築與都市是為了容納人群所進行的各種活動，而人的行為在空間中發生，人與人以及人與空間的互動都有其獨特性，如不一樣的人群在相同的空間中，發生的活動可能不同，不同人群之互動關係，本研究將之解讀為社群網絡。而空間的關係系統，是由功能各異的不同局部空間所組成之整體系統，本研究將之解讀為空間網絡。本研究選擇社會住宅進行空間網絡與社會網絡之案例分析，藉由空間結構與社群網絡分析方法，探討公共空間之區位與使用頻率之關係，並比較空間型構與社會網絡分析法兩種計算模式對於都市空間使用現象之解釋能力。研究結果得知，空間型構中之局部便捷值，對於使用頻率高之空間具有良好之預測能力，而社會網絡分析法中之中介中心性，對於實際人流移動則具有良好的解釋能力。

Buildings and cities both serve to accommodate the various crowd activities. All human behavior occurs in a space, and every interaction between human and between human and a space is unique. For instance, different crowds in the same space may engage in different activities. This study defines the relationships among such crowds as a social network, and a spatial relationship system, which is an aggregate system comprising various local spaces featuring different functions, as a spatial network. This study selects social housing as a case for analyzing spatial network and social network, using spatial structure and social network analysis (SNA) to discuss the relationship between the location and frequency of use of public spaces, and comparing the explanatory power of two computational models, spatial syntax and SNA, for urban spaces. The local integration value in space syntax exhibits satisfactory predictive power for spaces with high frequency of use, and the betweenness centrality in SNA shows favorable explanatory power for the actual movement of human flow.