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Modeling and analysis of social networks based on Petri net theory

Yıl 2021, Cilt: 6 Sayı: 1, 18 - 23, 01.03.2021

Öz

With the increasing use of social networks recently, studies in this area have also increased. These studies are generally related to social network analysis and modeling. The social networks are modeled using graphs; however, graphs are static structures and cannot model the dynamic properties of social networks. Petri nets are a graphical structure and are used in the modeling of dynamic structures. In this study, Petri nets was used to model the dynamic behavior of social networks. The model obtained was analyzed in case of behavioral and structural properties and the major properties of the model were determined.

Kaynakça

  • [1] M. Li, X. Wang, K. Gao, and S. Zhang, “A Survey on Information Diffusion in Online Social Networks: Models and Methods,” Information, vol. 8, no. 4, p. 118, 2017.
  • [2] L. Liu, B. Qu, B. Chen, A. Hanjalic, and H. Wang, “Modeling of Information Diffusion on Social Networks with Applications to WeChat,” 2017.
  • [3] T. Wang, J. He, and X. Wang, “An information spreading model based on online social networks,” Phys. A Stat. Mech. its Appl., vol. 490, pp. 488–496, 2018.
  • [4] A. Guille, H. Hacid, C. Favre, and D. A. Zighed, “Information diffusion in online social networks,” ACM SIGMOD Rec., vol. 42, no. 1, p. 17, 2013.
  • [5] T. Murata, “Petri Nets: Properties, Analysis and Applications,” Proc. IEEE, vol. 77, no. 4, pp. 541–580, 1989.
  • [6] A. Pinna, R. Tonelli, M. Orrú, and M. Marchesi, “A petri nets model for blockchain analysis,” Comput. J., vol. 61, no. 9, pp. 1374–1388, 2018.
  • [7] J. A. Barnes, “Class and Committees in a Norwegian Island Parish,” Hum. Relations, vol. 7, no. 1, pp. 39–58, 1954.
  • [8] L. C. Freeman, “Social networks and the structure experiment,” Res. Methods Soc. Netw. Anal., pp. 11–40, 1989.
Yıl 2021, Cilt: 6 Sayı: 1, 18 - 23, 01.03.2021

Öz

Kaynakça

  • [1] M. Li, X. Wang, K. Gao, and S. Zhang, “A Survey on Information Diffusion in Online Social Networks: Models and Methods,” Information, vol. 8, no. 4, p. 118, 2017.
  • [2] L. Liu, B. Qu, B. Chen, A. Hanjalic, and H. Wang, “Modeling of Information Diffusion on Social Networks with Applications to WeChat,” 2017.
  • [3] T. Wang, J. He, and X. Wang, “An information spreading model based on online social networks,” Phys. A Stat. Mech. its Appl., vol. 490, pp. 488–496, 2018.
  • [4] A. Guille, H. Hacid, C. Favre, and D. A. Zighed, “Information diffusion in online social networks,” ACM SIGMOD Rec., vol. 42, no. 1, p. 17, 2013.
  • [5] T. Murata, “Petri Nets: Properties, Analysis and Applications,” Proc. IEEE, vol. 77, no. 4, pp. 541–580, 1989.
  • [6] A. Pinna, R. Tonelli, M. Orrú, and M. Marchesi, “A petri nets model for blockchain analysis,” Comput. J., vol. 61, no. 9, pp. 1374–1388, 2018.
  • [7] J. A. Barnes, “Class and Committees in a Norwegian Island Parish,” Hum. Relations, vol. 7, no. 1, pp. 39–58, 1954.
  • [8] L. C. Freeman, “Social networks and the structure experiment,” Res. Methods Soc. Netw. Anal., pp. 11–40, 1989.
Toplam 8 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Bilgisayar Yazılımı
Bölüm PAPERS
Yazarlar

Ahmet Karadoğan 0000-0003-0954-5958

Yayımlanma Tarihi 1 Mart 2021
Gönderilme Tarihi 3 Aralık 2020
Kabul Tarihi 12 Aralık 2020
Yayımlandığı Sayı Yıl 2021 Cilt: 6 Sayı: 1

Kaynak Göster

APA Karadoğan, A. (2021). Modeling and analysis of social networks based on Petri net theory. Computer Science, 6(1), 18-23.

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