I would like to track the presence of some ideas in papers in economics, and I have been reading about citation network analysis and I have found some datasets (like the https://www.aminer.cn/citation, which contains 4 million papers, but about 25 thousand from journals that interests me). Can I find a freely accessible dataset with more papers, specifically in Economics? Besides that, I would have to do some group identification (community identification), and so far the best reference I found is a paper by Clauset et. al., "Finding community structure in very large networks". (https://arxiv.org/abs/cond-mat/0408187v2 ). A completely different approach would be having as many papers as possible from many years, and do some type of text analysis, but I am assuming that getting this kinda of data is still more difficult, so I am trying the first approach). I appreciate any possible help.
A lot depends on how you want to narrow down the data set (time period, magazine, subject matter) and whether the data obtained allows you to build a citation network at all. Depending on the expected volume of data, you can use the approach to extract all records and then in the analytical tool delete records not related to the topic, or extract records from databases that allow you to narrow the set at the stage of creating queries that include individual fields (including title or keywords ).
To easily start your adventure you can use the Gephi application plugin that automates the process of downloading data from Crossref:
https://www.researchgate.net/project/ScientoMiner
Here you can watch it in action:
https://goo.gl/xJBFkr
You can also use other databases that allow you to download search results as files. E.g. Scopus.
The last one is not free, but probably as a student, you may access it at your library.
Cheers!
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