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What methods can we use to help understand why users adopt certain use strategies, and how can we evaluate designs to anticipate and perhaps positively modify how users are likely to behave? This paper proposes taking advantage of social network analysis (SNA) to identify features of interaction. There are plausible reasons why SNA should be relevant to interaction programming and design, but we also show that SNA has promise, identifies and explains interesting use phenomena, and can be used effectively on conventionally-programmed interactive devices. Social network analysis is a very rich field, practically and theoretically, and many further forms of application and analysis beyond the promising examples explored in this paper are possible.