The relationship between human behavior and SNS (social networking service) activity is growing stronger every year as SNS websites such as Twitter and Facebook develop and expand. Accordingly, a significant number of studies related to SNS have also been reported. However, the majority of this research, such as that which examines the transmission of information via SNS websites, focuses entirely on the virtual world of SNS and few studies have established connections between virtual and real space. This paper focuses on one SNS website, Twitter, and proposes a method for analyzing the statistical relationship between the number of tweets posted on Twitter and the number of people visiting a real world location in the form of a mutual interaction model consisting of nodes and links. We conducted an experiment to verify the proposed method, in which we compared measurements of the number of passers-by in Akihabara with the number of tweets posted.