AZERBAIJAN NATIONAL ACADEMY OF SCIENCES
ANALYSIS OF DEMOGRAPHIC CHARACTERISTICS BASED ON DATA OF SOCIAL NETWORK USERS
Rana T. Gasimova, Rahim N. Abbasli

The main goal of the state policy in the field of demography is to ensure the growth of population reproduction in accordance with the country’s development strategy by eliminating negative trends in demographic processes. Demographic processes can be assessed by country, region and district. In this regard, demographic surveys can be conducted at the state, regional and individual levels. The implementation of an effective demographic policy in the country is an integral part of the e-government system. The article is devoted to the analysis of demographic characteristics based on the data of social network users. The spread of the Internet and digital technologies has created new opportunities for demographic research. To this end, the article analyzes demography as a field of multidisciplinary research and shows the importance of data collected in social networks for demographic research. This includes the use of data collected in the analytical systems of social networking services as a new source of information for demographic research. The article discusses foreign experience and current scientific and practical studies in the field of electronic demography, identifies current areas of research and analyzes their state-of-the-art. The paper explores the social network analysis systems and their classification by characteristics (pp.73-83).

Keywords:Demography, E-demography, Demographic characteristics, Social network analysis, Big data, Statistical methods
DOI : 10.25045/jpis.v13.i2.09
References
  • Gasimova, R.T. Abbasli, R.N. (2020). Analysis of search algorithms in large volumes of digital data. Problems of Information Technology, 1, 98-108. (Azerbaijani)
  • Internet World Stats. https://internetworldstats.com/stats.htm
  • Reinsel, D., Gantz, J., Rydning, J. (2018). Data Age 2025: The Digitization of the World–From Edge to Core, IDC White Pape, Framingham, MA, USA.
    https://seagate.com/files/www-content/our-story/trends/files/idc-seagate-dataage-whitepaper.pdf
  • Alguliyev, R.M., Yusifov, F.F. (2021). Architectural principles of national e-demographic system establishment. Problems of the Information Society, 2, 3-17. (Azerbaijani)
  • United Nations Development Program, “Human Development”, textbook, 2014. https://az.undp.org/content/azerbaijan/en/home/library/ human_development/HDtextbook.html (Azerbaijani)
  • Alguliyev, R.M., Aliguliyev, R.M., Yusifov, F.F., Alakbarova, I.Y. (2019). Formation of electronic demography as an effective tool for social research and monitoring of population data. State and municipal management issues. Higher School of Economics (NRU HSE), 4, 61–86. (Russian)
  • Hajirahimova, M.Sh., Aliyeva, A.S. (2021). Characteristics of the digital formation demography in the Big data era. Problems of Information Technology, 2, 74–88. (Azerbaijani)
  • Letouze, E., Jutting, J. (2015). Official statistics, big data and human development. Data-Pop Alliance White Paper Series. https://paris21.org/
  • Imamverdiyev, Y.N. (2010). Social networks analysis: concepts, models and research problems. Problems of the Information Society, 2, 9–20. (Azerbaijani)
  • Alguliyev, R.M., Yusifov, F.F. (2009). Social networks as a tool to improve the efficiency of public administration mechanisms. Telecommunications, 9, 25-30. (Russian)
  • Abdullayeva, F.D. (2009). About a method of building relationships between personal data in social networks. Problems of Control and Informatics, 1, 118-123. (Russian)
  • Demography: textbook. (2004). Ed. prof. V.G. Glushkova. Moscow: KnoRus. https://azstat.org/Kitweb/zipfiles/11030.pdf (Russian)
  • Kachagina, O.V. (2016). Fundamentals of Demography: Fundamentals of Theory and Practical Tasks: Textbook. Ulyanovsk: UlGU. (Russian)
  • Andrichenko, L.V., Meshcheryakova, M.A. (2012). Information registers as an effective means of collecting and monitoring population data. Journal of Russian Law, 8, 16–40. (Russian)
  • Borisov, V.A. (2001). Demography. Moscow: NOTABENE Publishing House. http://sociologos.ru/upload/File/Methods/Demography_Borisov.pdf (Russian)
  • Billari, F., D’Amuri, F., Marcucci, J. (2013). Forecasting births using google. Annual Meeting of the Population Association of America, New Orleans, USA.
  • Poulain, M., Herm, A. (2013). Central populatıon registers as a source of demographic statistics in Europe. Population, 68(2), 183–212.
  • Yildiz, D., Munson, J., Vitali, A. and et al. (2017). Using Twitter data for demographic research. Demographic Research, 37(46), 1477–1514.
  • Cesare, N., Lee, H., McCormick, T. et al. (2018). Promises and Pitfalls of Using Digital Traces for Demographic Research. Demography, 55(5), 1979–1999.
  • Gil-Clavel, S., Zagheni, E. (2019). Demographic Differentials in Facebook Usage around the World. İn Proceedings of the Thirteenth International AAAI Conference on Web and Social Media (ICWSM 2019), Munich, Germany, 11-14 June 2019 (pp. 647-650).
  • Fire, M., Elovici, Y. (2015). Data Mining of Online Genealogy Datasets for Revealing Lifespan Patterns in Human Population. ACM Transactions on Intelligent Systems and Technology, 6(2), 1-24.
  • Mammadova M.H., Jabrayilova Z.Q., Isayeva A.M. (2020) Development of informative parameters for decision-making based on doctor-patient relations in social media resources. Problems of Information Technology, 1, 49–61. (Azerbaijani)
  • Careja, R., Bevelander, P. (2018). Using population registers for migration and integration research: examples from Denmark and Sweden. Comparative Migration Studies, 6(1), 6-19.
  • Gubanov, D.A., Novikov, D.A., Chkhartishvili, A.G. (2010). Social networks: models of information influence, control and confrontation. Moscow: Publishing House of Physical and Mathematical Literature. (Russian)
  • Kashepov, A.V., Volgin, N.A., Veselkova, I.N., Zvereva, N.V., Khorev, B.S., Khoreva, O.B., Shcherbakov, A.I. (2007). Demography. Moscow: Publishing house RAGS. (Russian)
  • Demography. Textbook for universities. (2005). Ed. Volgin, N.A., Rybakovsky, L.L., Kalmykova, N.M., Arkhangelsky, V.N., Ivanova, E.I., Zakharova, O.D., Ivanova, A.E., Denisenko , M.B., Tikhomirova, N.P., Tikhomirova, T.M. Moscow: Logos Publishing House. (Russian)
  • Chekmyshev, O.A., Yashunsky, A.D. (2014). Extraction and use of data from electronic social networks. IPM preprints im. M.V. Keldysh. Moscow. (Russian)
  • Korshunov, A., Beloborodov, I., Buzun, N., Avanesov, V., Pastukhov, R., Chikhradze, K., Kozlov, I., Gomzin, A., Andrianov, I., Sysoev, A., Ipatov, S., Filonenko, I., Chuprina, K., Turdakov, D., Kuznetsov, S. (2014). Social Network Analysis: Methods and Applications. Proceedings of the Institute for System Programming RAS, 26(1), 439-456. https://doi.org/10.15514/ISPRAS-2014-26(1)-19 (Russian)
  • Filippova, K. (2012). User demographics and language in an implicit social network. In Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, Jeju Island, Korea, 12-14 July 2012 (pp. 1478-1488). https://dl.acm.org/doi/pdf/10.5555/2390948.2391117
  • Yuxiao, D., Yang, Y., Jie, T., Nitesh, V. Chawla. (2014). Inferring user demographics and social strategies in mobile social networks. In Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining–KDD '14. August 2014 (pp. 15-24). https://doi.org/10.1145/2623330.2623703
  • Bartunov, S., Korshunov, A. (2012). Identification of users of social networks on the Internet based on social connections. Reports of the All-Russian scientific conference “Analysis of images, networks and texts” - AIST'2012. Ekaterinburg, Russia, March 16-18, 2012 (p.52-67). https://publications.hse.ru/mirror/pubs/share/folder/jspp0u781q/direct/69355023.pdf (Russian)
  • Culotta, A., Kumar Ravi, N., Cutler, J. (2016). Predicting twitter user demographics using distant supervision from website traffic data. Journal of Artificial Intelligence Research, 55(1), 389-408.
  • Bouquet, P., Bortoli, S. (2010). Entity-centric Social Profile Integration. In Proceedings of the International Workshop on Linking of User Profiles and Applications in the Social Semantic Web (LUPAS 2010), Heraklion, Greece, 30 May-3 June 2010 (pp.52-57).
  • All statistics of the Internet and social networks for 2021 - numbers and trends in the world and in Russia. https://web-canape.ru/business/vsya-statistika-interneta-i-socsetej-na-2021-god-cifry-i-trendy-v-mire-i-v-rossii/ (Russian)
  • Social media statistics around the world. https://gs.statcounter.com/social-media-stats (Russian)
  • Gasimova, R. (2016). Big data analytics: available approaches, problems and solutions. Problems of Information Technology, 1, 62-78. https://jpit.az/uploads/article/en/BIG_DATA_ANALYTICS_AVAILABLE_APPROACHES,_PROBLEMS_AND_SOLUTIONS.pdf (Azerbaijani)
  • Rasim M. Alguliyev, Rena T. Gasimova, Rahim N. Abbasli (2017). The obstacles in Big Data process. International Journal of Modern Education and Computer Science (JMECS), 9(3), 28-35.
    http://mecs-press.org/ijmecs/ijmecs-v9-n3/IJMECS-V9-N3-4.pdf
  • Madden, S. (2012). From Databases to Big Data. IEEE Internet Computing, 16(3), 4-6.
  • Boyd, D.M., Ellison, N.B. (2007). Social network sites: Definition, history, and scholarship. Journal of Computer-Mediated Communication, 13(1), 210-230, https://doi.org/10.1111/j.1083-6101.2007.00393.x
  • George Pallis, Demetrios Zeinalipour-Yazti, Marios D. Dikaiakos. (2011). Online Social Networks: Status and Trends. New Directions in Web Data Management 1, Studies in Computational Intelligence, 331, 213-234.
  • Baden, R., Bender, A., Spring, N., Bhattacharjee, B., Starin, D. (2009). Persona: an Online Social Network with User-defined Privacy. In Proceedings of the ACM SIGCOMM 2009 Conference on Applications, Technologies, Architectures, and Protocols for Computer Communications, Barcelona, Spain, August 2009 (pp.135-146).