计算机与现代化 ›› 2014, Vol. 0 ›› Issue (1): 132-136.

• 网络与通信 • 上一篇    下一篇

 一种新型流媒体流行度预测模型

  

  1. 1.解放军69031部队,新疆乌鲁木齐810002;2.国防科学技术大学计算机学院,湖南长沙410073
  • 收稿日期:2013-09-02 出版日期:2014-01-20 发布日期:2014-02-10
  • 作者简介: 孙冬婷(1981-),女,山东郓城人,解放军69031部队助理工程师,硕士,研究方向:数据挖掘和多媒体技术; 穆志鹏(1969-),男,工程师,硕士,研究方向:网络通信; 黄旭慧(1962-),女,国防科学技术大学计算机学院高级工程师,博士,研究方向:模式识别和多媒体技术。

 A Novel Prediction Model for Streaming Media Popularity

  1. 1. PLA 69031 Unit, Urumqi 810002, China;

     2. College of Computer Science, National University of Defense Tecnology, Changsha 410073, China
  • Received:2013-09-02 Online:2014-01-20 Published:2014-02-10

摘要: 通过分析流媒体在不同类型的群体中的传播过程,本文提出其传播过程类似于传染病在不同类型人群的传播过程,以各型流媒体对不同群体的吸引力(易感群体)、不同类型群体传播流媒体的能力(传染源)、流媒体的传播途径(传播方式)等为要素,建立一种新型流媒体流行度预测模型,用于定性和定量分析流媒体的流行度,进而为运营商的资源分配和部署提供依据。

关键词:  , 易感群体, 传染源, 传播途径

Abstract: By analyzing the streaming media propagations in different types of groups, this thesis argues that the propagation is similar to infectious diseases spreading process in various types of populations. By setting the different attractiveness of various types of streaming media on different groups (vulnerable groups), the different groups’ capacity of spreading streaming media and ways of transmission (transmission mode) as the elements, a new prediction model of streaming popularity is proposed which could be used to qualitatively and quantitatively analyze the streaming media popularity and then provide the basis for the operator’s resource allocation and deployment.

Key words:  vulnerable groups, infection source, transmission mode