Editing Social media comp chapter (section)

=== 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 — 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.