Book coversThe beta version of Computer Science Professor Dmitry Zinoviev's e-book, Complex Network Analysis in Python. Recognize → Construct → Visualize → Analyze → Interpret, has been published by The Pragmatic Bookshelf. The book mostly covers NetworkX, a Python-language network analysis tool and is intended for curious Python programmers, data scientists, and complex network analysis specialists. The beta is available from the publisher's website.

The translation of Zinoviev's Data Science Essentials in Python into Italian (Data Science con Python) was published in June by Apogeo, an Italian publisher. It is accompanied by a two-part interview, also in Italian.

Zinoviev recently published the article "Discrete Event Simulation. It's Easy with SimPy!" in PragPub, a magazine for computer professionals.

He presented the talk "How North Korea Views China: Applying Sentiment Analysis to Korean Central News Agency Reports," coauthored with Government Professor Weiqi Zhang, the first author, in July at the International Conference on Computational Social Science (IC2S2) in Cologne, Germany. Zhang and Zinoviev applied natural-language-processing techniques to the corpus of articles collected from the Korean Central News Agency website to monitor the change of the North Korean attitude towards its northern neighbor in the past 20 years. Zinoviev presented a poster, Network Analysis of Conspiracy Theories and Pseudosciences (CTPS), at the same conference. His research concerns building a taxonomy of CTPS based on co-purchasing data.

He and Sonia Gantman, Providence College, coauthored and copresented the paper "Conceptual Structure of Fraud Research and Its Dynamics" in August at AMCIS 2017—Americas Conference on Information Systems. The authors processed 16,000 fraud-related academic papers published in the past 20 years and constructed a semantic map of the fraud research landscape, based on the keywords and subject tags. They identified eight major and 10 minor fraud research areas, including political and academic fraud and research of adulteration—the failure of food products to meet federal or state standards. The paper will be published in the conference proceedings.