Approaches to the Examination of the Practice of Monitoring "Big Data" of a Socio-Economic Nature
DOI:
https://doi.org/10.61841/4g9zmy78Keywords:
monitoring, big data, social information, designing of monitoring systems.Abstract
The article considers approaches to the examining of the practice of monitoring "big data" of a socio-economic nature. Big data, which is an array of structured and unstructured data that is difficult to process using traditional methods, has significant potential, allowing you to get online rapid diagnostic results, examine the entire data set, rather than samples, and use various machine algorithms that identify implicit relationships. The author of the article considers social scoring as promising by marketers, specialists in personnel search and bailiffs, collection and detective agencies for searching debtors in social networks, collecting data, and identifying relationships. It should be noted that many are not ready for data inspection, despite the fact that the automation of business processes in this area has been active for more than 15 years in Russia. For example, in the field of HR Analytics, this is due to the fact that a relatively small number of companies have implemented ERP systems that allow one to accumulate the necessary data, as well as the HR specialists themselves do not save all the data.
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References
1. Kibakin, M.V. (2019) Using Internet technologies for social diagnostics of public confidence in the police.
Social and humanitarian technologies. 2, 18-24.
2. Edling, C.R. (2002) Mathematics in sociology. Annu Rev Sociol, 28, 197-220. DOI: 10.1146/annurev.soc.28.110601.140942
3. Coleman, J.S. (1965) The use of electronic computers in the study of social organization. Eur J Sociol, 6, 89-107. DOI: 10.1017/S0003975600001156
4. Gullahorn, J.T, Gullahorn, J.E. (1963) A computer model of elementary social behavior. Syst Res, 8, 354-
362. DOI: 10.1002/bs.3830080410
5. McGinnis, R. A stochastic model of social mobility. Am SociolRev. (1968) 33:712–22. doi: 10.2307/2092882
6. Kwak H, Lee C, Park H, Moon S. What is twitter, a social network or a news media? In: Proceedings of the 19th International Conference on World Wide Web. Raleigh, NC: ACM (2010). pp. 591–600.
7. Takhteyev Y, Gruzd A, Wellman B. Geography of twitter networks. Soc Netw. (2012) 34:73–81. doi: 10.1016/j.socnet.2011.05.006
8. Java A, Song X, Finin T, Tseng B. Why we twitter: understanding microblogging usage and communities. In: Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 Workshop on Web Mining and Social Network Analysis. San Jose, CA: ACM (2007). pp. 56–65/
9. Bakshy E, Hofman JM, Mason WA, Watts DJ. Everyone's an influencer: quantifying influence on twitter. In: Proceedings of the Fourth ACM International Conference on Web Search and Data Mining. Kowloon: ACM (2011). pp. 65–74
10. Holme P., Liljeros F. Mechanistic models in computational social science. Front. Phys., 17 September (2015). doi.org/10.3389/fphy.2015.00078
11. Beier, M., Wagner, K. (2016). Social media adoption: barriers to the strategic use ofsocial media in SMEs.Proceedings of the european conference on information systems.
12. Hiltz, S.R., Diaz, P., Mark, G. (2011). Social media and collaborative systems for crisismanagement, ACM Transactions on Computer-Human Interaction, Vol. 18 Issue 4, December 2011, ACM New York, NY, USA, DOI:https://doi.org/10.1145/2063231.S.
13. Stieglitz, S., Bunker, D., Mirbabaie, M., Ehnis, C. (2017a). Sense-Making in Social MediaDuring Extreme Events. Journal of Contingencies and Crisis Management (JCCM).http://dx.doi.org/10.1111/1468- 5973.12193.
14. Shen, Y., Hock Chuan, C., Cheng, S. H. (2016). The Medium Matters: Effects on WhatConsumers Talk about Regarding Movie Trailers. In Proceedings of the InternationalConference on Information Systems. Simmonds,
15. Aral, S., Dellarocas, C., Godes, D. (2013). Introduction to the special Issue—Socialmedia and business transformation: a framework for research.Information SystemsResearch, 24(1), 3–13. http://dx.doi.org/10.1287/isre.1120.0470.
16. van Osch, W., Coursaris, C. K. (2013). Organizational Social Media: A Comprehensive Framework and Research Agenda. In 2013 46th Hawaii International Conference on System Sciences (HICSS). p. 700– 707. DOI: 10.1109/HICSS.2013.439
17. Golder, S. A., Macy, M. W. (2011). Diurnal and Seasonal Mood Vary with Work, Sleep, and Daylength Across Diverse Cultures. Science, 333(6051), 1878––1881.https://doi.org/10.1126/science.1202775
18. Kursuncu U., Gaur M., Lokala U., Thirunarayan K., Sheth A., Arpinar I. B.. (2018). Predictive Analysis on Twitter: Techniques and Applications. arXiv:1806.02377v1 [cs.SI] 6 Jun 2018
19. Balasuriya L., Wijeratne S., Doran D., and Sheth A., Finding Street Gang Members on Twitter, in ASONAM, 2016.
20. Gerasimov, V.O., Sharafutdinov, R.I., Kolmakov, V.V. et al. (2019). Control in the human capital management system in the strategy of innovative development of a region. Entrepreneurship and Sustainability Issues, 7(2), 1074-1088. DOI: 10.9770/jesi.2019.7.2(20)
21. Polyakova, A., Kolmakov, V., Yamova, O. (2019). Regional competitiveness response to innovation changes: Issues of evaluation. Journal of Urban and Regional Analysis, 11(2), 159-172. DOI: 10.37043/JURA.2019.11.2.3
22. Zavyalova, N. et al. (2019). Dataset on the interview-based survey of Moscow bicycle infrastructure. Data in Brief, 26 DOI: 10.1016/j.dib.2019.104429
23. Tkachenko, E., Rogova, E., Bodrunov, S., Dmitriev, N. (2019). Valuation of intellectual capital in the context of economic potential of A company. Paper presented at the Proceedings of the European Conference on Intellectual Capital, 2019-May, 303-314.
24. Zavyalov, D. V., Saginova, O. V., & Zavyalova, N. B. (2017). The concept of managing the agro-industrial cluster development. Journal of Environmental Management and Tourism, 8(7), 1427-1441. doi:10.14505/jemt.v8.7(23).12
25. Polyakova, A. G., Ramakrishna, S. A., Kolmakov, V. V., & Zavyalov, D. V. (2019). A model of fuel and energy sector contribution to economic growth. International Journal of Energy Economics and Policy, 9(5), 25-31. doi:10.32479/ijeep.7849
26. Gagarina, G.Y., Dzyuba, E.I., Gubarev, R.V., Fayzullin, F.S. (2017). Forecasting of Socio-Economic Development of the Russian Regions. Ekonomika regiona – Economy of region, 13(4), 1080-1094.
27. Banchiamlak Nigussie Tefera, Young-Dong Kim, and . 2019. Ethnobotanical study of Medicinal plants used as Antimalarial and Repellent by Sidama people of Hawassa Zuria district, Southern Ethiopia.. Journal of Complementary Medicine Research, 10 (1), 13-
26. doi:10.5455/jcmr.20181102063241
28. Sharma, R., Balhara, Y.P.S., Sagar, R., Deepak, K., Mehta, M.Heart rate variability study of childhood anxiety disorders(2011) Journal of Cardiovascular Disease Research, 2 (2), pp. 115-122.
DOI: 10.4103/0975-3583.83040
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