Modeling and Analysis of Dynamic Social Ties in D2D Collaborative Video Transmission
Social networks are one of the main carriers of information diffusion. Changes in social ties will affect the quality of Device-to-Device (D2D) communications especially the video transmission. For further improving the communication utility of users, it is of great significance to effectively integ...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2020/1915840 |
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| _version_ | 1832547050547314688 |
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| author | Qi Zhang Zufan Zhang Tian Zeng Xiaoke Li |
| author_facet | Qi Zhang Zufan Zhang Tian Zeng Xiaoke Li |
| author_sort | Qi Zhang |
| collection | DOAJ |
| description | Social networks are one of the main carriers of information diffusion. Changes in social ties will affect the quality of Device-to-Device (D2D) communications especially the video transmission. For further improving the communication utility of users, it is of great significance to effectively integrate D2D communications and social networks. To this end, this paper utilizes a stochastic approach to modeling and analysis of dynamic social ties in D2D collaborative video transmission. Specifically, a stochastic mathematical model is established and analyzed, in which the combined effect of many factors such as interest, geographical position, career, social class, value system, and interaction is considered. Based on the Brownian motion theory, the strength of social ties among social individuals with time is studied. Next, the reliability function and adaptive parameter estimation are performed. Finally, some examples are conducted to illustrate the main results of this paper, from which one can see that the proposed model has a good predictive ability of the changing trend of social ties. |
| format | Article |
| id | doaj-art-eccbd674b15a4f21906701cd3b26fce5 |
| institution | Kabale University |
| issn | 1026-0226 1607-887X |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-eccbd674b15a4f21906701cd3b26fce52025-02-03T06:46:19ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2020-01-01202010.1155/2020/19158401915840Modeling and Analysis of Dynamic Social Ties in D2D Collaborative Video TransmissionQi Zhang0Zufan Zhang1Tian Zeng2Xiaoke Li3School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, ChinaSchool of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, ChinaSchool of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, ChinaSchool of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, ChinaSocial networks are one of the main carriers of information diffusion. Changes in social ties will affect the quality of Device-to-Device (D2D) communications especially the video transmission. For further improving the communication utility of users, it is of great significance to effectively integrate D2D communications and social networks. To this end, this paper utilizes a stochastic approach to modeling and analysis of dynamic social ties in D2D collaborative video transmission. Specifically, a stochastic mathematical model is established and analyzed, in which the combined effect of many factors such as interest, geographical position, career, social class, value system, and interaction is considered. Based on the Brownian motion theory, the strength of social ties among social individuals with time is studied. Next, the reliability function and adaptive parameter estimation are performed. Finally, some examples are conducted to illustrate the main results of this paper, from which one can see that the proposed model has a good predictive ability of the changing trend of social ties.http://dx.doi.org/10.1155/2020/1915840 |
| spellingShingle | Qi Zhang Zufan Zhang Tian Zeng Xiaoke Li Modeling and Analysis of Dynamic Social Ties in D2D Collaborative Video Transmission Discrete Dynamics in Nature and Society |
| title | Modeling and Analysis of Dynamic Social Ties in D2D Collaborative Video Transmission |
| title_full | Modeling and Analysis of Dynamic Social Ties in D2D Collaborative Video Transmission |
| title_fullStr | Modeling and Analysis of Dynamic Social Ties in D2D Collaborative Video Transmission |
| title_full_unstemmed | Modeling and Analysis of Dynamic Social Ties in D2D Collaborative Video Transmission |
| title_short | Modeling and Analysis of Dynamic Social Ties in D2D Collaborative Video Transmission |
| title_sort | modeling and analysis of dynamic social ties in d2d collaborative video transmission |
| url | http://dx.doi.org/10.1155/2020/1915840 |
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