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Online Socioeconomic Activity in Russia : Patterns of Dynamics and Regional Diversity. / Verzilin, Dmitry; Maximova, Tatiana; Sokolova, Irina.

Digital Transformation and Global Society - 2nd International Conference, DTGS 2017, Revised Selected Papers. ed. / Alexander V. Boukhanovsky; Andrei V. Chugunov; Daniel A. Alexandrov; Yury Kabanov; Olessia Koltsova. Springer Nature, 2017. p. 55-69 (Communications in Computer and Information Science; Vol. 745).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Harvard

Verzilin, D, Maximova, T & Sokolova, I 2017, Online Socioeconomic Activity in Russia: Patterns of Dynamics and Regional Diversity. in AV Boukhanovsky, AV Chugunov, DA Alexandrov, Y Kabanov & O Koltsova (eds), Digital Transformation and Global Society - 2nd International Conference, DTGS 2017, Revised Selected Papers. Communications in Computer and Information Science, vol. 745, Springer Nature, pp. 55-69, 2nd International Conference on Digital Transformation and Global Society, DTGS 2017, St. Petersburg, Russian Federation, 20/06/17. https://doi.org/10.1007/978-3-319-69784-0_5

APA

Verzilin, D., Maximova, T., & Sokolova, I. (2017). Online Socioeconomic Activity in Russia: Patterns of Dynamics and Regional Diversity. In A. V. Boukhanovsky, A. V. Chugunov, D. A. Alexandrov, Y. Kabanov, & O. Koltsova (Eds.), Digital Transformation and Global Society - 2nd International Conference, DTGS 2017, Revised Selected Papers (pp. 55-69). (Communications in Computer and Information Science; Vol. 745). Springer Nature. https://doi.org/10.1007/978-3-319-69784-0_5

Vancouver

Verzilin D, Maximova T, Sokolova I. Online Socioeconomic Activity in Russia: Patterns of Dynamics and Regional Diversity. In Boukhanovsky AV, Chugunov AV, Alexandrov DA, Kabanov Y, Koltsova O, editors, Digital Transformation and Global Society - 2nd International Conference, DTGS 2017, Revised Selected Papers. Springer Nature. 2017. p. 55-69. (Communications in Computer and Information Science). https://doi.org/10.1007/978-3-319-69784-0_5

Author

Verzilin, Dmitry ; Maximova, Tatiana ; Sokolova, Irina. / Online Socioeconomic Activity in Russia : Patterns of Dynamics and Regional Diversity. Digital Transformation and Global Society - 2nd International Conference, DTGS 2017, Revised Selected Papers. editor / Alexander V. Boukhanovsky ; Andrei V. Chugunov ; Daniel A. Alexandrov ; Yury Kabanov ; Olessia Koltsova. Springer Nature, 2017. pp. 55-69 (Communications in Computer and Information Science).

BibTeX

@inproceedings{ec5af0ae6e10447189922a5b50a16ede,
title = "Online Socioeconomic Activity in Russia: Patterns of Dynamics and Regional Diversity",
abstract = "The paper focused on analysis of heterogeneous panel data characterizing recourses, conditions, levels, habits, and effects of online communication between people, enterprises and public organizations. The data were obtained from open access sources of federal and regional government bodies, social media, and service providers, and included statistics on key word searches, communities in social networks, demography of organizations, online purchasing, public online services, indicators of socioeconomics development, and ICT recourses. Multidimensional classification of regions and statistical analysis of dependencies between time-series data items let determine main factors of online socioeconomics activities and provided a technique of their forecasting.",
keywords = "Cluster analysis, Internet-communication, Key word searchers, Performance factors, Public online services, Regression analysis, Russian regions, Service providers, Social media",
author = "Dmitry Verzilin and Tatiana Maximova and Irina Sokolova",
note = "Funding Information: Acknowledgments. The research described in this paper is partially supported by the Russian Foundation for Basic Research (grants 15-08-08459, 16-07-00779, 17-08-00797, 17-06-00108), Russian Humanitarian Found (grants 15-04-00400). Publisher Copyright: {\textcopyright} 2017, Springer International Publishing AG. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.; 2nd International Conference on Digital Transformation and Global Society, DTGS 2017 ; Conference date: 20-06-2017 Through 22-06-2017",
year = "2017",
doi = "10.1007/978-3-319-69784-0_5",
language = "English",
isbn = "9783319697833",
series = "Communications in Computer and Information Science",
publisher = "Springer Nature",
pages = "55--69",
editor = "Boukhanovsky, {Alexander V.} and Chugunov, {Andrei V.} and Alexandrov, {Daniel A.} and Yury Kabanov and Olessia Koltsova",
booktitle = "Digital Transformation and Global Society - 2nd International Conference, DTGS 2017, Revised Selected Papers",
address = "Germany",
url = "http://dtgs.ifmo.ru/DTGS%2017%20program%20FINAL.pdf",

}

RIS

TY - GEN

T1 - Online Socioeconomic Activity in Russia

T2 - 2nd International Conference on Digital Transformation and Global Society, DTGS 2017

AU - Verzilin, Dmitry

AU - Maximova, Tatiana

AU - Sokolova, Irina

N1 - Funding Information: Acknowledgments. The research described in this paper is partially supported by the Russian Foundation for Basic Research (grants 15-08-08459, 16-07-00779, 17-08-00797, 17-06-00108), Russian Humanitarian Found (grants 15-04-00400). Publisher Copyright: © 2017, Springer International Publishing AG. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.

PY - 2017

Y1 - 2017

N2 - The paper focused on analysis of heterogeneous panel data characterizing recourses, conditions, levels, habits, and effects of online communication between people, enterprises and public organizations. The data were obtained from open access sources of federal and regional government bodies, social media, and service providers, and included statistics on key word searches, communities in social networks, demography of organizations, online purchasing, public online services, indicators of socioeconomics development, and ICT recourses. Multidimensional classification of regions and statistical analysis of dependencies between time-series data items let determine main factors of online socioeconomics activities and provided a technique of their forecasting.

AB - The paper focused on analysis of heterogeneous panel data characterizing recourses, conditions, levels, habits, and effects of online communication between people, enterprises and public organizations. The data were obtained from open access sources of federal and regional government bodies, social media, and service providers, and included statistics on key word searches, communities in social networks, demography of organizations, online purchasing, public online services, indicators of socioeconomics development, and ICT recourses. Multidimensional classification of regions and statistical analysis of dependencies between time-series data items let determine main factors of online socioeconomics activities and provided a technique of their forecasting.

KW - Cluster analysis

KW - Internet-communication

KW - Key word searchers

KW - Performance factors

KW - Public online services

KW - Regression analysis

KW - Russian regions

KW - Service providers

KW - Social media

UR - http://www.scopus.com/inward/record.url?scp=85034454512&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-69784-0_5

DO - 10.1007/978-3-319-69784-0_5

M3 - Conference contribution

AN - SCOPUS:85034454512

SN - 9783319697833

T3 - Communications in Computer and Information Science

SP - 55

EP - 69

BT - Digital Transformation and Global Society - 2nd International Conference, DTGS 2017, Revised Selected Papers

A2 - Boukhanovsky, Alexander V.

A2 - Chugunov, Andrei V.

A2 - Alexandrov, Daniel A.

A2 - Kabanov, Yury

A2 - Koltsova, Olessia

PB - Springer Nature

Y2 - 20 June 2017 through 22 June 2017

ER -

ID: 75019780