This paper provides a comprehensive and novel analysis of the annual conference proceedings of CHI to explore the structure and evolution of the community. Self-awareness is healthy for a diverse and dynamic community, allowing it to anticipate and respond to emerging themes. Instead of using a traditional topic modelling approach to analyze the text of the papers, we adopt a social network analysis approach by analyzing the citation network of papers. After constructing such a citation network, community detection is applied in order to cluster papers into different groups. The keywords of these groups are found to represent different research themes in human-computer interaction, Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the owner/author(s).