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Competitive Interaction Model for Online Social Networks' Users' Data Forwarding at a Subnet

机译：网上社交网络用户数据转发的竞争交互模型

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摘要

Social Networks Ecosystem is evolving faster and Social Networks users' intensive activities are affecting significantly the network traffic. Generated data from different sending and receiving hosts have to be handled by network active nodes and links. In this paper, we propose to study the interaction between two types of network active hosts by using a Lotka-Volterra competitive system that considers the subnet limiting supply. We applied our proposed model to two kinds of Online Social Networks' (OSNs') users characterized by the intensity of their activities from the generated data perspective. We assumed and proved that the impact of competition is flexible and subject to forwarding protocol and subnet allocated resources. By taking the competition case in the analysis of the differential equations, we show that when competition exists, one stable equilibrium point can be found if certain conditions are respected. Numerical results confirm our theoretical analysis and show that instead of treating equally at the subnet level all data from active hosts, adopting a routing protocol that takes into account the nature of data and the forwarding time is necessary for improving the overall performance of the network.
机译：社交网络生态系统的发展日新月异，社交网络用户的密集活动严重影响了网络流量。从不同的发送和接收主机生成的数据必须由网络活动节点和链接处理。在本文中，我们建议使用考虑子网限制供应的Lotka-Volterra竞争系统研究两种类型的网络活动主机之间的交互。我们从两种类型的在线社交网络（OSNs）用户中应用了我们提出的模型，这些用户的特点是从生成的数据角度看他们的活动强度。我们假设并证明竞争的影响是灵活的，并且受转发协议和子网分配资源的影响。通过对微分方程分析中的竞争案例，我们表明，当存在竞争时，如果遵守某些条件，则可以找到一个稳定的平衡点。数值结果证实了我们的理论分析，并表明，与其在子网级别平等对待来自活动主机的所有数据，还不如采用一种路由协议，该路由协议要考虑到数据的性质和转发时间，这对于提高网络的整体性能是必不可少的。

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  • 来源
    《Mathematical Problems in Engineering》 |2017年第6期|3971803.1-3971803.9|共9页
  • 作者

    Koura Yaya H.; Zhang Yaming; Liu Haiou;

  • 作者单位

    Yanshan Univ, Sch Econ & Management, Qinhuangdao 066004, Peoples R China;

    Yanshan Univ, Sch Econ & Management, Qinhuangdao 066004, Peoples R China;

    Yanshan Univ, Sch Econ & Management, Qinhuangdao 066004, Peoples R China;

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