1. 2023
  2. Cumulative Polarization: Patterns of Accumulation of Neutral and Politicized Echo Chambers on Russian Twitter

    Бодрунова, С. С., Блеканов, И. С. & Тарасов, Н. А., 2023, Social Computing and Social Media. HCII 2023. Springer Nature, p. 167–182 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14025 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

  3. Data Encoding for Social Media: Comparing Twitter, Reddit, and Telegram

    Блеканов, И. С., Тарасов, Н. А., Непиющих, Д. В. & Бодрунова, С. С., 2023, Networks in the Global World VI. NetGloW 2022. Springer Nature, p. 114–122 9 p. (Lecture Notes in Networks and Systems; vol. 663 LNNS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

  4. Mapping Opinion Cumulation: Topic Modeling-Based Dynamic Summarization of User Discussions on Social Networks

    Блеканов, И. С., Тарасов, Н. А., Бодрунова, С. С. & Сергеев, С. Л., 2023, Social Computing and Social Media. HCII 2023. Springer Nature, p. 25–40 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14025 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

  5. MAPPING OPINION CUMULATION: TOPIC MODELING-BASED DYNAMIC SUMMARIZATION OF USER DISCUSSIONS ON SOCIAL NETWORKS

    Блеканов, И. С., Тарасов, Н. А. & Бодрунова, С. С., 2023, ПЯТНАДЦАТЫЕ МЕЖДУНАРОДНЫЕ НАУЧНЫЕ ЧТЕНИЯ В МОСКВЕ "СМИ И МАССОВЫЕ КОММУНИКАЦИИ–2023" ЭПОХА НЕОПРЕДЕЛЕННОСТИ В СОВРЕМЕННЫХ СМИ И ЖУРНАЛИСТИКЕ: ВЫЗОВЫ БОЛЬШИХ ДАННЫХ И ИСКУССТВЕННОГО ИНТЕЛЛЕКТА. Издательство Московского университета, p. 25-26

    Research output: Chapter in Book/Report/Conference proceedingConference abstractsResearchpeer-review

  6. Resource Allocation in Heterogeneous Network with Supervised GNNs

    Sun, Q., Zhang, Y., Wu, H. & Petrosian, O., 8 Jul 2023, In: Lecture Notes in Computer Science. 13969, p. 350-361 12 p.

    Research output: Contribution to journalArticlepeer-review

  7. Forecasting online adaptation methods for energy domain

    У, Х., Долгинцева, Е. А., Жадан, А. Ю. & Петросян, О. Л., 1 Aug 2023, In: Engineering Applications of Artificial Intelligence. 123, Part C, 106499.

    Research output: Contribution to journalArticlepeer-review

  8. Finding Bottlenecks in Message Passing Interface Programs by Scalable Critical Path Analysis

    Корхов, В. В., Ганкевич, И. Г., Гавриков, А. А., Мингазова, М. Д., Петряков, И. В., Терещенко, Д. В., Шаталин, А. & Слободской, В., 31 Oct 2023, In: Algorithms. 16, 11, p. 505 505.

    Research output: Contribution to journalArticlepeer-review

  9. Microgrid control for renewable energy sources based on deep reinforcement learning and numerical optimization approaches*

    Zhadan, A. U., Wu, H., Kudin, P. S., Zhang, Y. & Petrosian, O. L., 1 Nov 2023, In: Vestnik Sankt-Peterburgskogo Universiteta, Prikladnaya Matematika, Informatika, Protsessy Upravleniya. 19, 3, p. 391-402 12 p.

    Research output: Contribution to journalArticlepeer-review

  10. Ad hoc media: A blurred border between media, arenas, and publics in new forms of collaborative posting on social networks

    Бодрунова, С. С., Смолярова, А. С. & Тарасов, Н. А., Dec 2023, Moscow Readings - 2023: Conference proceedings. Moscow, 2023.. 2 p.

    Research output: Chapter in Book/Report/Conference proceedingConference abstractsResearchpeer-review

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