I stayed in SBP11 for the whole day today, attending the keynote speaker sessions and all presentations. As it is a multi-disciplinary computer-modeling conference, I will not say I have interest in every topic presented. Here, I summarize my observation into four themes: 1. A few studies use social network analysis to identify the relationships among a group of people. Based on the frequency and pattern of communications and/or interactions, a social-network map can be drawn. This tactic could be used by federal agencies to identify the leaders of an organization (e.g. terrorist groups). 2. Some studies identify the frequently-used key words from a large data set (e.g. tweets) with data mining techniques, such as Latent Dirichlet Allocation (LDA). Social network analysis and LDA seems to be the “popular” methods. 3. There are more topics related to public health and medicare issues than I expected. Computer-modeling is a tool for data analysis. Where should these method...
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