Don ’ T Mind the ( Eigen ) Gap
نویسندگان
چکیده
Pengsheng Ji and Jiashun Jin have collected and analyzed a fun and fascinating dataset that we are eager to use as an example in a course on Statistical Network Analysis. In this comment, we partition the core of the paper citation graph and interpret the clusters by analyzing the paper abstracts using bag-of-words. Under the Stochastic Blockmodel (SBM), the eigengap reveals the number of clusters. We find several eigengaps and that there are still clusters beyond the largest eigengap. Through this illustration, we argue against a simplistic interpretation of model selection results from the Stochastic Blockmodel (SBM) literature. In short, don’t mind the gap.
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