Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Collecting and Processing Distributed Data for Decision Support in Social Ecology. / Verzilin, Dmitry; Maximova, Tatyana; Sokolova, Irina.
Intelligent Distributed Computing XIII, IDC 2019. ed. / Igor Kotenko; Vasily Desnitsky; Costin Badica; Didier El Baz; Mirjana Ivanovic. Springer Nature, 2020. p. 443-448 (Studies in Computational Intelligence; Vol. 868).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
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TY - GEN
T1 - Collecting and Processing Distributed Data for Decision Support in Social Ecology
AU - Verzilin, Dmitry
AU - Maximova, Tatyana
AU - Sokolova, Irina
N1 - Funding Information: Acknowledgements. The research described in this paper is partially supported by the Russian Foundation for Basic Research (grants 17-06-00108, 17-08-00797), state order of the Ministry of Education and Science of the Russian Federation № 2.3135.2017/4.6, state research № 0073-2019-0004 and International project ERASMUS+, Capacity building in higher education, # 73751-EPP-1-2016-1-DE-EPPKA2-CBHE-JP. Publisher Copyright: © Springer Nature Switzerland AG 2020. Copyright: Copyright 2019 Elsevier B.V., All rights reserved.
PY - 2020
Y1 - 2020
N2 - The problems of environmental awareness in the population were considered. Distributed sources of information were revealed and analyzed to evaluate such awareness. The data on search queries and messages in social groups were used to estimate patterns of environment-related mass activities in the cyberspace and the real world of Russian regions. The results obtained demonstrate opportunities of distributed data collection for a real-time decision making as compared with sociological surveys.
AB - The problems of environmental awareness in the population were considered. Distributed sources of information were revealed and analyzed to evaluate such awareness. The data on search queries and messages in social groups were used to estimate patterns of environment-related mass activities in the cyberspace and the real world of Russian regions. The results obtained demonstrate opportunities of distributed data collection for a real-time decision making as compared with sociological surveys.
KW - Environmental monitoring
KW - Key word searchers
KW - Online activity
KW - Social ecology
KW - Socio-ecological systems
UR - http://www.scopus.com/inward/record.url?scp=85075568240&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-32258-8_52
DO - 10.1007/978-3-030-32258-8_52
M3 - Conference contribution
AN - SCOPUS:85075568240
SN - 9783030322571
T3 - Studies in Computational Intelligence
SP - 443
EP - 448
BT - Intelligent Distributed Computing XIII, IDC 2019
A2 - Kotenko, Igor
A2 - Desnitsky, Vasily
A2 - Badica, Costin
A2 - El Baz, Didier
A2 - Ivanovic, Mirjana
PB - Springer Nature
T2 - 13th International Symposium on Intelligent Distributed Computing, IDC 2019
Y2 - 7 October 2019 through 9 October 2019
ER -
ID: 75018705