Grigorii Khvatskii - Publications

D. G. Zaytsev, V. V. Kuskova, G. S. Khvatsky, and A. A. Sokol, “Searching for coherence in a fragmented field: Temporal and keywords network analysis in political science,” Network Science, pp. 1-30, Feb. 2023, doi: 10.1017/nws.2022.39.

@article{zaytsev_searching_2023,
    title = {Searching for coherence in a fragmented field: {Temporal} and keywords network analysis in political science},
    issn = {2050-1242, 2050-1250},
    shorttitle = {Searching for coherence in a fragmented field},
    url = {https://www.cambridge.org/core/journals/network-science/article/searching-for-coherence-in-a-fragmented-field-temporal-and-keywords-network-analysis-in-political-science/6F8768437D23CAF24D3D93771E715F65},
    doi = {10.1017/nws.2022.39},
    language = {en},
    urldate = {2023-03-24},
    journal = {Network Science},
    author = {Zaytsev, Dmitry G. and Kuskova, Valentina V. and Khvatsky, Gregory S. and Sokol, Anna A.},
    month = feb,
    year = {2023},
    note = {Publisher: Cambridge University Press},
    keywords = {bibliometrics, political science},
    pages = {1--30},
}

V. V. Kuskova, D. G. Zaytsev, G. S. Khvatsky, A. A. Sokol, M. D. Vorobeva, and R. A. Kamalov, “Expanding the boundaries of interdisciplinary field: Contribution of Network Science journal to the development of network science,” Network Science, pp. 1-33, Jan. 2023, doi: 10.1017/nws.2022.41.

@article{kuskova_expanding_2023,
    title = {Expanding the boundaries of interdisciplinary field: {Contribution} of {Network} {Science} journal to the development of network science},
    issn = {2050-1242, 2050-1250},
    shorttitle = {Expanding the boundaries of interdisciplinary field},
    url = {https://www.cambridge.org/core/journals/network-science/article/expanding-the-boundaries-of-interdisciplinary-field-contribution-of-network-science-journal-to-the-development-of-network-science/9CF68AEA39CF90C03D5026CA8EC2B789},
    doi = {10.1017/nws.2022.41},
    language = {en},
    urldate = {2023-02-05},
    journal = {Network Science},
    author = {Kuskova, Valentina V. and Zaytsev, Dmitry G. and Khvatsky, Gregory S. and Sokol, Anna A. and Vorobeva, Maria D. and Kamalov, Rustam A.},
    month = jan,
    year = {2023},
    note = {Publisher: Cambridge University Press},
    keywords = {methodological contribution, theory building, theory testing, unified foundation},
    pages = {1--33}
}

G. S. Khvatsky, D. G. Zaytsev, V. V. Kuskova, and A. A. Sokol, “Computational Tools of Media Analysis for Corporate Policy Effectiveness Evaluation: Models and Their Reliability,” in Reliability and Maintainability Assessment of Industrial Systems: Assessment of Advanced Engineering Problems, Springer, 2022, pp. 51-71.

@incollection{khvatsky_computational_2022,
    title = {Computational {Tools} of {Media} {Analysis} for {Corporate} {Policy} {Effectiveness} {Evaluation}: {Models} and {Their} {Reliability}},
    booktitle = {Reliability and {Maintainability} {Assessment} of {Industrial} {Systems}: {Assessment} of {Advanced} {Engineering} {Problems}},
    publisher = {Springer},
    author = {Khvatsky, Gregory S and Zaytsev, Dmitry G and Kuskova, Valentina V and Sokol, Anna A},
    year = {2022},
    pages = {51--71},
}

V. Kuskova, G. Khvatsky, D. Zaytsev, and N. Talovsky, “Multilevel Exponential Random Graph Models Application to Civil Participation Studies,” in Analysis of Images, Social Networks and Texts: 8th International Conference, AIST 2019, Kazan, Russia, July 17-19, 2019, Revised Selected Papers 8, 2019, pp. 265-275.

@inproceedings{kuskova_multilevel_2019,
    title = {Multilevel {Exponential} {Random} {Graph} {Models} {Application} to {Civil} {Participation} {Studies}},
    booktitle = {Analysis of {Images}, {Social} {Networks} and {Texts}: 8th {International} {Conference}, {AIST} 2019, {Kazan}, {Russia}, {July} 17–19, 2019, {Revised} {Selected} {Papers} 8},
    publisher = {Springer},
    author = {Kuskova, Valentina and Khvatsky, Gregory and Zaytsev, Dmitry and Talovsky, Nikita},
    year = {2019},
    pages = {265--275},
}

V. Kuskova, D. Zaytsev, A. Sokol, and G. Khvatsky, “Neural Network Modeling and What-if Scenarios: Applications to Various-Term Sales Forecasts,” in Proceedings of the 26th ISSAT International Conference on Reliability and Quality in Design 2021, Virtual, Aug. 2021, pp. 122-126.

@inproceedings{kuskova_neural_2021,
    address = {Virtual},
    title = {Neural {Network} {Modeling} and {What}-if {Scenarios}: {Applications} to {Various}-{Term} {Sales} {Forecasts}},
    isbn = {978-0-9910576-9-6},
    shorttitle = {{RQD} 2021},
    month = aug,
    year = {2021},
    pages = {122--126},
}

D. Zaytsev, V. Kuskova, P. Lushnikova, and G. Khvatsky, “Cross-Efficiency of International Sanctions: Application of Data Envelopment Analysis and Network Methodology,” in Analysis of Images, Social Networks and Texts: 8th International Conference, AIST 2019, Kazan, Russia, July 17-19, 2019, Revised Selected Papers 8, 2020, pp. 72-82.

@inproceedings{zaytsev_cross-efficiency_2020,
    title = {Cross-{Efficiency} of {International} {Sanctions}: {Application} of {Data} {Envelopment} {Analysis} and {Network} {Methodology}},
    booktitle = {Analysis of {Images}, {Social} {Networks} and {Texts}: 8th {International} {Conference}, {AIST} 2019, {Kazan}, {Russia}, {July} 17–19, 2019, {Revised} {Selected} {Papers} 8},
    publisher = {Springer},
    author = {Zaytsev, Dmitry and Kuskova, Valentina and Lushnikova, Polina and Khvatsky, Gregory},
    year = {2020},
    pages = {72--82},
}

D. Zaytsev, G. Khvatsky, N. Talovsky, and V. Kuskova, “Network Analysis Methodology of Policy Actors Identification and Power Evaluation (The Case of the Unified State Exam Introduction in Russia),” in Network Algorithms, Data Mining, and Applications: NET, Moscow, Russia, May 2018 8, 2020, pp. 231-244.

@inproceedings{zaytsev_network_2020,
    title = {Network {Analysis} {Methodology} of {Policy} {Actors} {Identification} and {Power} {Evaluation} ({The} {Case} of the {Unified} {State} {Exam} {Introduction} in {Russia})},
    booktitle = {Network {Algorithms}, {Data} {Mining}, and {Applications}: {NET}, {Moscow}, {Russia}, {May} 2018 8},
    publisher = {Springer},
    author = {Zaytsev, Dmitry and Khvatsky, Gregory and Talovsky, Nikita and Kuskova, Valentina},
    year = {2020},
    pages = {231--244},
}

D. Zaytsev, N. Talovsky, V. Kuskova, and G. Khvatsky, “The Entity Name Identification in Classification Algorithm: Testing the Advocacy Coalition Framework by Document Analysis (The Case of Russian Civil Society Policy),” in Analysis of Images, Social Networks and Texts: 8th International Conference, AIST 2019, Kazan, Russia, July 17-19, 2019, Revised Selected Papers 8, 2019, pp. 276-288.

@inproceedings{zaytsev_entity_2019,
    title = {The {Entity} {Name} {Identification} in {Classification} {Algorithm}: {Testing} the {Advocacy} {Coalition} {Framework} by {Document} {Analysis} ({The} {Case} of {Russian} {Civil} {Society} {Policy})},
    booktitle = {Analysis of {Images}, {Social} {Networks} and {Texts}: 8th {International} {Conference}, {AIST} 2019, {Kazan}, {Russia}, {July} 17–19, 2019, {Revised} {Selected} {Papers} 8},
    publisher = {Springer},
    author = {Zaytsev, Dmitry and Talovsky, Nikita and Kuskova, Valentina and Khvatsky, Gregory},
    year = {2019},
    pages = {276--288},
}