摘要
对网络、博客、播客等新型媒体人气指数的关注,有利于提高这些媒体的个性化服务,促进传播者和接受者个性化交流。当前新型媒体的客户访问在时间上的变化极大,人气关注指数变化呈现很强的非线性。传统的用户关注指数评判模型仅仅通过关注人数、关注数值等影响因子分析新型媒体的关注度,很难短时间内对用户变化做出准确评估,造成传统模型失真。因此提出一种新的媒体用户关注指数优化模型,在传统模型中通过将用户关注增长变化率、关注变化率等变化因子作为影响新型媒体用户人气值的影响因子,建立新的计算用户活跃得分和影响力得分的模型,将两种模型赋予不同权值后得到了用户最终的关注指数优化模型。尤以微博为例的计算机仿真结果表明,这种新型媒体用户的关注指数模型能够较合理地体现用户的人气影响力。
The attention to the new media network, blogs, podcasts and other new media sentiment index, benefit to improve the media personalized service and promote communicators and recipients personalized communication. Because current new media client visit time change is great, popular attention changes present strong nonlinear. To solve this problem, this paper put forward a new media user attention index optimization model, developed a new us- ers active scoring and influence score model, then by giving different weights we set up the final popularity value opti- mization model. Taking microhlog as an example, the computer simulation experiment resuhs show that the calcula- tion model of popularity value of new media users can reflect the influence of the user more reasonably.
出处
《计算机仿真》
CSCD
北大核心
2014年第1期429-433,共5页
Computer Simulation
基金
国家863计划项目(2012AA011004)
关键词
新型媒体
用户人气值
仿真
关注指数
New media
User popularity value
Simulation
Attention index
