Professors Dmitry Zinoviev and Dan Stefanescu of Mathematics and Computer Science and Gary Fireman and Lance Swenson of Psychology published the paper "Semantic networks of interests in online non-suicidal self-injury communities" in Digital Health Journal.
The Pragmatic Bookshelf published Zinoviev's book, Data Science Essentials in Python. Collect → Organize → Explore → Predict → Value. The Pragmatic Bookshelf imprint features books written by developers for developers, with titles that reflect the award-winning Pragmatic Programmer style. The beta version of the eBook is available through the publisher's website; the paper version is coming soon.
He also published the article "Analyzing Cultural Domains with Python" in PragPub, a computing magazine affiliated with The Pragmatic Bookshelf publisher. The article shows, step by step, how the tedious task of cultural domain analysis can be automated using Python programming language.
Zinoviev presented "Social networks of music groups as success predictors" at the International Network of Social network Analysis (INSNA) XXXVI Sunbelt Conference in April. His research offers a unique view of the dynamics of Russian non-academic music groups over the past 60 years and suggests that sharing musicians among groups is beneficial for the groups' long-term success. He also presented "Soviet Popular Music Landscape: Community Structure and Success Predictors" at the International Conference on Computational Social Science sponsored by Northwestern University’s Kellogg School of Management in Evanston, Illinois.
Zinoviev published the working paper "Qualitative Analysis of Russian Quantitative Adjectives" (in Russian) on ResearchGate.net. The paper shows a method of forming a table of 34 qualitative adjectives of the Russian language. This table may be used to create ordinal scales with 10 or fewer levels; for example, a 10-stop scale "excellent - excellent - strong - solid - good - so so - weak - bad - awful - disgusting."