ANR-Lab Seminar "Comparing two approaches to bibliometric networks construction"
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Tomorrow, September 28, at 17:00, we will hold the International Laboratory for Applied Network Research's second scientific seminar in the new academic year. Joint research by Daria Maltseva and Vladimir Batagelj will be presented at the seminar.
There are two opposite strategies for bibliographic networks production in bibliometric network analysis used in the studies. The first strategy is based on the extensive, though time-consuming cleaning and entities resolution/disambiguation of the initial dataset. The second so-called "believe in statistics," approach assumes that all-important information, in any case, will pop up. It applies mostly automatic, and only partially manual, on necessary units identified by a preliminary analysis, data cleaning procedures. However, the question arises whether the first approach necessarily leads to better results, or the second approach can identify the most important parts of networks. When having the data sets on the same topic constructed in both ways, the question will be addressed.
The dataset on the literature in social network science produced by Lietz (2017), which consists of 25,760 bibliographical records retrieved from Web of Science up to 2012, required a lot of efforts in cleaning and disambiguation, and that's why it can be seen as an example of the first strategy for networks construction. Another dataset on the literature in social network analysis presented by Maltseva and Batagelj (2019), consisting of 70,792 bibliographical records from Web of Science up to 2018, can be seen as an example of the second strategy. As the two datasets are devoted to the same topic, parallel datasets can be constructed (both up to 2012) and used for analysis. Comparing the results, we check whether several methods lead to similar or different products and evaluate their differences.
The language of the seminar is English. The seminar will be held by us online on the Zoom platform. Registered participants will receive a letter with an invitation to the video conference.
Registration for the seminar is available here.
We will be glad to see everyone!
Date
28 September
17:00
Address
Zoom
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