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Social media comp chapter
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A book chapter that Jeremy, Mako, and Aaron are working on. === Current to-do list === ==== Data collection and preparation ==== * Get Scopus articles about "online communities" as well ==== Introduction ==== * Revise once we have completed the sections and have a story to tell about our findings. * Incorporate a bit more about how the chapter attempts to point people toward great resources and exemplary work applying computational techniques. ==== Data Collection and Descriptives (Jeremy) ==== * Write code to produce descriptive statistics ** Citation Counts ** Top Journals ** Top Countries ** Papers per year * Finish writing up benefits/drawbacks section * Incorporate mentions/citations of instructional texts/resources that interested readers can use. ==== Topic Models (Jeremy) ==== * Write code to produce: ** Overall topic distribution ** Topic distribution over time ** Topic distribution in top journals? * Write discussion of findings * Write benefits/limitations of approach ==== Citation Prediction (Aaron) ==== * Incorporate links/citations to Statistical Learning book and related instructional resources. * Prepare data for analysis ** Abstract text *** Lowercase *** Remove stop-words *** Create uni-, bi-, tri- grams. *** Determine minimum threshhold of phrase occurrence for inclusion across categories/subjects (e.g., Mitra & Gilbert say 50 in their dataset). ** Control measures *** n.authors *** publication year *** publication type (conference? journal?) *** agg prior citations for authors (sqrt? log?) *** author affiliation (fixed effects? maybe just dummy for R1?) *** venue (fixed effects) *** subject area (fixed effects β various measures available) *** affiliation countries *** language ==== Citation Networks (Mako) ==== * Mako will complete detailed outline of his section in .tex file. ==== Conclusion ==== * Expand draft conclusion as we go. Revise upon completion.
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