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SYSTEM-DYNAMIC MODELS OF DESTRUCTIVE INFORMATIONAL INFLUENCE IN SOCIAL NETWORKING SERVICES

Yıl 2019, Cilt: 3 Sayı: 2, 137 - 146, 31.08.2019

Öz

In modern conditions, social networking services
have become one of the most popular mass media. Due to a large number of
additional functions, besides providing social communication, services are used
to influence social and political processes. As a result of the spread of
content of destructive matter from anywhere in the world by intruders, threats
to the state's information security are being delivered. Currently there are no
valid and effective methods to opposing the information impact on virtual
community actors in social networking services. Therefore, the scientific and
applied task of improving and further developing models of destructive
informational influence in social networking services, which is going to allow
to oppose threats to the state's information security timely, is especially
urgent. In the article the model of destructive informational influence in
social networking services is offered on the basis of the system dynamics
method by J. Forrester. The conceptual basis of the system-dynamic model, which
includes content, traffic content, and dynamics’ index number of content in
time, is formulated. The approaches to constructing loops of linear and
nonlinear feedback of actors’ interaction in the virtual communities of social
networking services are presented. Nonlinear analytical models of system
dynamics of informational influence in social Internet services as partial
cases of second-order nonlinear differential equations are developed. The
approaches to conducting a controlled transition of the information space of
social networking services through parametric control using a system-dynamic
model of destructive informational influence are offered. The considered models
can be used for constructing complex models of system dynamics of social
communication in virtual communities in the conditions of conducting
information confrontation in order to ensure state’s information security in
social networking services.

Kaynakça

  • 1. Boyd, D. M., Ellison, N. B. “Social network sites: Definition, history, and scholarship”, Journal of computer‐mediated Communication, 13(1), Pages 210-230, 2007.
  • 2. Park, N., Kee, K. F., Valenzuela, S. “Being immersed in social networking environment: Facebook groups, uses and gratifications, and social outcomes”, CyberPsychology & Behavior, 12(6), Pages 729-733, 2009.
  • 3. Liang, T. P., Ho, Y. T., Li, Y. W., Turban, E. “What drives social commerce: The role of social support and relationship quality”, International Journal of Electronic Commerce, 16(2), Pages 69-90, 2011.
  • 4. Hryshchuk R. V., Danyk Yu. H., “Osnovy kiberbezpeky” [Fundamentals of cybernetic security] [book in Ukrainian], 636 pages, ZhNAEU, Zhytomyr, 2016.
  • 5. Yevseiev S., Ostapov S., Rzaiev Kh., Nikolaienko V., “ Otsinka obminu danymy v hlobalnykh obchysliuvalnykh merezhakh na osnovi kompleksnoho pokaznyka yakosti obsluhovuvannia merezhi” [Estimation of data exchange in global computer networks on the basis of an integrated indicator of network service quality] [article in Ukrainian], Radio Electronics, Computer Science, Control, 1(40), Pages 115–128, 2017.
  • 6. Hryshchuk R., Molodetska-Hrynhchuk K., “Methodological Foundation of State’s Information Security in Social Networking Services in Conditions of Hybrid War,” Information & Security: An International Journal, Vol. 41, Pages 55-73, 2018.
  • 7. Badawy, A., Ferrara, E., Lerman, K. “Analyzing the digital traces of political manipulation: The 2016 russian interference twitter campaign”, 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Pages 258-265, 2018.
  • 8. Giles, K. “The Next Phase of Russian Information Warfare”, NATO Strategic Communications Centre of Excellence, Vol. 20, 16 Pages, 2016.
  • 9. Hrabar, I., Hryshchuk, R., Molodetska, K. “Bezpekova synerhetyka: kibernetychnyi ta informatsiinyi aspekty” [Security synergy: cybernetic and informational aspects] [book in Ukrainian], Eds. R. Hryshchuk, ZhNAEU, Zhytomyr, 280 pages, 2019.
  • 10. Molodetska, K. “Uzahalnena klasyfikatsiia zahroz informatsiinii bezpetsi derzhavy v sotsialnykh internet-servisakh” [Generalized classification of threats to the state's information security in social networking services] [article in Ukrainian], Information Protection, Iss. 23, Pages 75-87, 2016.
  • 11. Molodetska-Hrynchuk, K. “Model systemy pidtrymky pryiniattia rishen dlia vyiavlennia oznak zahroz informatsiinii bezpetsi derzhavy u sotsialnykh internet-servisakh ta otsiniuvannia yikh rivnia” [Model of Decision Support System for Detection the Threats Signs to Information State Security in Social Networking Services and Assessment of Their Level] [article in Ukrainian], Information Security, Vol. 23, No. 2, Pages 136-144, 2017.
  • 12. Hajian, B., White, T. “Modelling influence in a social network: Metrics and evaluation”, 2011 IEEE Third International Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third International Conference on Social Computing, IEEE, Pages 497-500, 2011.
  • 13. Rashidi, T. H., Abbasi, A., Maghrebi, M., Hasan, S., Waller, T. S. “Exploring the capacity of social media data for modelling travel behaviour: Opportunities and challenges”, Transportation Research Part C: Emerging Technologies, 75, Pages 197-211, 2017.
  • 14. Bello-Orgaz, G., Jung, J. J., Camacho, D. “Social big data: Recent achievements and new challenges”, Information Fusion, 28, Pages 45-59, 2016.
  • 15. Molodetska-Hrynchuk, K. “Adaptatsiia metodiv teorii khaosu dlia zabezpechennia informatsiinoi bezpeky derzhavy u sotsialnykh internet-servisakh” [Adaptation of Chaos Theory Methods to Provide State Information Security in Social networking Services] [article in Ukrainian], Bulletin of the Zhytomyr National Agroecological University, No. 2 (61), t. 1, P. 180-187. 2017
  • 16. Forrester, J. W. “System dynamics – the next fifty years”, System Dynamics Review: The Journal of the System Dynamics Society, 23(2‐3), Pages 359-370, 2007.
  • 17. Forrester, J. W. “System dynamics: the foundation under systems thinking”, Sloan School of Management. Massachusetts Institute of Technology, 1999.
  • 18. Forrester, J. W. “Industrial dynamics”, Journal of the Operational Research Society, 48(10), Pages 1037-1041, 1997.
  • 19. Gharajedaghi, J. “Systems thinking: Managing chaos and complexity: A platform for designing business architecture”, Elsevier, 350 Pages, 2011.
  • 20. Gharajedaghi, J. “Systems thinking: a case for second-order-learning”, The Learning Organization, 14(6), Pages 473-479, 2007.
  • 21. Mahov, S. “Mathematical simulation of world dynamics and sustainable development by the example of Forrester's model” [Matematicheskoe modelirovanie mirovoj dinamiki ustojchivogo razvitija na primere modeli Forrestera] [article in Russian], http://www.keldysh.ru/papers/2005/prep06/prep2005_06.html, March 19, 2019.
  • 22. Brodsky, Yu., Grabar, I., Timonin Y. “Universalna model systemy. Metodolohichnyi aspekt” [Universal system model. Methodological aspect] [article in Ukrainian], Bulletin of the Zhytomyr National Agroecological University, 1, Pages 202-209, 2009.
  • 23. Brodsky, Yu., Timonin, Yu., Timonin, A. “Uchet differencial'nyh poter' v nelinejnoj modeli jekonomicheskoj sistemy” [Accounting for differential losses in the nonlinear model of the economic system] [article in Russian], Business-Inform, 3, Pages 45-47, 2012.
  • 24. Bayer, S. “Business dynamics: systems thinking and modeling for a complex world”, Interfaces, Vol. 34, No. 4, Pages 324-326, 2004.

SYSTEM-DYNAMIC MODELS OF DESTRUCTIVE INFORMATIONAL INFLUENCE IN SOCIAL NETWORKING SERVICES

Yıl 2019, Cilt: 3 Sayı: 2, 137 - 146, 31.08.2019

Öz

In modern conditions, social networking services have become one of the most popular mass media. Due to a large number of additional functions, besides providing social communication, services are used to influence social and political processes. As a result of the spread of content of destructive matter from anywhere in the world by intruders, threats to the state's information security are being delivered. Currently there are no valid and effective methods to opposing the information impact on virtual community actors in social networking services. Therefore, the scientific and applied task of improving and further developing models of destructive informational influence in social networking services, which is going to allow to oppose threats to the state's information security timely, is especially urgent. In the article the model of destructive informational influence in social networking services is offered on the basis of the system dynamics method by J. Forrester. The conceptual basis of the system-dynamic model, which includes content, traffic content, and dynamics’ index number of content in time, is formulated. The approaches to constructing loops of linear and nonlinear feedback of actors’ interaction in the virtual communities of social networking services are presented. Nonlinear analytical models of system dynamics of informational influence in social Internet services as partial cases of second-order nonlinear differential equations are developed. The approaches to conducting a controlled transition of the information space of social networking services through parametric control using a system-dynamic model of destructive informational influence are offered. The considered models can be used for constructing complex models of system dynamics of social communication in virtual communities in the conditions of conducting information confrontation in order to ensure state’s information security in social networking services.

Kaynakça

  • 1. Boyd, D. M., Ellison, N. B. “Social network sites: Definition, history, and scholarship”, Journal of computer‐mediated Communication, 13(1), Pages 210-230, 2007.
  • 2. Park, N., Kee, K. F., Valenzuela, S. “Being immersed in social networking environment: Facebook groups, uses and gratifications, and social outcomes”, CyberPsychology & Behavior, 12(6), Pages 729-733, 2009.
  • 3. Liang, T. P., Ho, Y. T., Li, Y. W., Turban, E. “What drives social commerce: The role of social support and relationship quality”, International Journal of Electronic Commerce, 16(2), Pages 69-90, 2011.
  • 4. Hryshchuk R. V., Danyk Yu. H., “Osnovy kiberbezpeky” [Fundamentals of cybernetic security] [book in Ukrainian], 636 pages, ZhNAEU, Zhytomyr, 2016.
  • 5. Yevseiev S., Ostapov S., Rzaiev Kh., Nikolaienko V., “ Otsinka obminu danymy v hlobalnykh obchysliuvalnykh merezhakh na osnovi kompleksnoho pokaznyka yakosti obsluhovuvannia merezhi” [Estimation of data exchange in global computer networks on the basis of an integrated indicator of network service quality] [article in Ukrainian], Radio Electronics, Computer Science, Control, 1(40), Pages 115–128, 2017.
  • 6. Hryshchuk R., Molodetska-Hrynhchuk K., “Methodological Foundation of State’s Information Security in Social Networking Services in Conditions of Hybrid War,” Information & Security: An International Journal, Vol. 41, Pages 55-73, 2018.
  • 7. Badawy, A., Ferrara, E., Lerman, K. “Analyzing the digital traces of political manipulation: The 2016 russian interference twitter campaign”, 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Pages 258-265, 2018.
  • 8. Giles, K. “The Next Phase of Russian Information Warfare”, NATO Strategic Communications Centre of Excellence, Vol. 20, 16 Pages, 2016.
  • 9. Hrabar, I., Hryshchuk, R., Molodetska, K. “Bezpekova synerhetyka: kibernetychnyi ta informatsiinyi aspekty” [Security synergy: cybernetic and informational aspects] [book in Ukrainian], Eds. R. Hryshchuk, ZhNAEU, Zhytomyr, 280 pages, 2019.
  • 10. Molodetska, K. “Uzahalnena klasyfikatsiia zahroz informatsiinii bezpetsi derzhavy v sotsialnykh internet-servisakh” [Generalized classification of threats to the state's information security in social networking services] [article in Ukrainian], Information Protection, Iss. 23, Pages 75-87, 2016.
  • 11. Molodetska-Hrynchuk, K. “Model systemy pidtrymky pryiniattia rishen dlia vyiavlennia oznak zahroz informatsiinii bezpetsi derzhavy u sotsialnykh internet-servisakh ta otsiniuvannia yikh rivnia” [Model of Decision Support System for Detection the Threats Signs to Information State Security in Social Networking Services and Assessment of Their Level] [article in Ukrainian], Information Security, Vol. 23, No. 2, Pages 136-144, 2017.
  • 12. Hajian, B., White, T. “Modelling influence in a social network: Metrics and evaluation”, 2011 IEEE Third International Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third International Conference on Social Computing, IEEE, Pages 497-500, 2011.
  • 13. Rashidi, T. H., Abbasi, A., Maghrebi, M., Hasan, S., Waller, T. S. “Exploring the capacity of social media data for modelling travel behaviour: Opportunities and challenges”, Transportation Research Part C: Emerging Technologies, 75, Pages 197-211, 2017.
  • 14. Bello-Orgaz, G., Jung, J. J., Camacho, D. “Social big data: Recent achievements and new challenges”, Information Fusion, 28, Pages 45-59, 2016.
  • 15. Molodetska-Hrynchuk, K. “Adaptatsiia metodiv teorii khaosu dlia zabezpechennia informatsiinoi bezpeky derzhavy u sotsialnykh internet-servisakh” [Adaptation of Chaos Theory Methods to Provide State Information Security in Social networking Services] [article in Ukrainian], Bulletin of the Zhytomyr National Agroecological University, No. 2 (61), t. 1, P. 180-187. 2017
  • 16. Forrester, J. W. “System dynamics – the next fifty years”, System Dynamics Review: The Journal of the System Dynamics Society, 23(2‐3), Pages 359-370, 2007.
  • 17. Forrester, J. W. “System dynamics: the foundation under systems thinking”, Sloan School of Management. Massachusetts Institute of Technology, 1999.
  • 18. Forrester, J. W. “Industrial dynamics”, Journal of the Operational Research Society, 48(10), Pages 1037-1041, 1997.
  • 19. Gharajedaghi, J. “Systems thinking: Managing chaos and complexity: A platform for designing business architecture”, Elsevier, 350 Pages, 2011.
  • 20. Gharajedaghi, J. “Systems thinking: a case for second-order-learning”, The Learning Organization, 14(6), Pages 473-479, 2007.
  • 21. Mahov, S. “Mathematical simulation of world dynamics and sustainable development by the example of Forrester's model” [Matematicheskoe modelirovanie mirovoj dinamiki ustojchivogo razvitija na primere modeli Forrestera] [article in Russian], http://www.keldysh.ru/papers/2005/prep06/prep2005_06.html, March 19, 2019.
  • 22. Brodsky, Yu., Grabar, I., Timonin Y. “Universalna model systemy. Metodolohichnyi aspekt” [Universal system model. Methodological aspect] [article in Ukrainian], Bulletin of the Zhytomyr National Agroecological University, 1, Pages 202-209, 2009.
  • 23. Brodsky, Yu., Timonin, Yu., Timonin, A. “Uchet differencial'nyh poter' v nelinejnoj modeli jekonomicheskoj sistemy” [Accounting for differential losses in the nonlinear model of the economic system] [article in Russian], Business-Inform, 3, Pages 45-47, 2012.
  • 24. Bayer, S. “Business dynamics: systems thinking and modeling for a complex world”, Interfaces, Vol. 34, No. 4, Pages 324-326, 2004.
Toplam 24 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Mühendislik
Bölüm Araştırma Makalesi
Yazarlar

Kateryna Molodetska 0000-0001-9864-2463

Yuriy Tymonin Bu kişi benim 0000-0002-0179-5226

Yayımlanma Tarihi 31 Ağustos 2019
Gönderilme Tarihi 15 Nisan 2019
Yayımlandığı Sayı Yıl 2019 Cilt: 3 Sayı: 2

Kaynak Göster

APA Molodetska, K., & Tymonin, Y. (2019). SYSTEM-DYNAMIC MODELS OF DESTRUCTIVE INFORMATIONAL INFLUENCE IN SOCIAL NETWORKING SERVICES. International Journal of 3D Printing Technologies and Digital Industry, 3(2), 137-146.
AMA Molodetska K, Tymonin Y. SYSTEM-DYNAMIC MODELS OF DESTRUCTIVE INFORMATIONAL INFLUENCE IN SOCIAL NETWORKING SERVICES. IJ3DPTDI. Ağustos 2019;3(2):137-146.
Chicago Molodetska, Kateryna, ve Yuriy Tymonin. “SYSTEM-DYNAMIC MODELS OF DESTRUCTIVE INFORMATIONAL INFLUENCE IN SOCIAL NETWORKING SERVICES”. International Journal of 3D Printing Technologies and Digital Industry 3, sy. 2 (Ağustos 2019): 137-46.
EndNote Molodetska K, Tymonin Y (01 Ağustos 2019) SYSTEM-DYNAMIC MODELS OF DESTRUCTIVE INFORMATIONAL INFLUENCE IN SOCIAL NETWORKING SERVICES. International Journal of 3D Printing Technologies and Digital Industry 3 2 137–146.
IEEE K. Molodetska ve Y. Tymonin, “SYSTEM-DYNAMIC MODELS OF DESTRUCTIVE INFORMATIONAL INFLUENCE IN SOCIAL NETWORKING SERVICES”, IJ3DPTDI, c. 3, sy. 2, ss. 137–146, 2019.
ISNAD Molodetska, Kateryna - Tymonin, Yuriy. “SYSTEM-DYNAMIC MODELS OF DESTRUCTIVE INFORMATIONAL INFLUENCE IN SOCIAL NETWORKING SERVICES”. International Journal of 3D Printing Technologies and Digital Industry 3/2 (Ağustos 2019), 137-146.
JAMA Molodetska K, Tymonin Y. SYSTEM-DYNAMIC MODELS OF DESTRUCTIVE INFORMATIONAL INFLUENCE IN SOCIAL NETWORKING SERVICES. IJ3DPTDI. 2019;3:137–146.
MLA Molodetska, Kateryna ve Yuriy Tymonin. “SYSTEM-DYNAMIC MODELS OF DESTRUCTIVE INFORMATIONAL INFLUENCE IN SOCIAL NETWORKING SERVICES”. International Journal of 3D Printing Technologies and Digital Industry, c. 3, sy. 2, 2019, ss. 137-46.
Vancouver Molodetska K, Tymonin Y. SYSTEM-DYNAMIC MODELS OF DESTRUCTIVE INFORMATIONAL INFLUENCE IN SOCIAL NETWORKING SERVICES. IJ3DPTDI. 2019;3(2):137-46.

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