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具有社团和个体差异性的舆论传播动力学分析
  • ISSN号:1000-5781
  • 期刊名称:系统工程学报
  • 时间:2012
  • 页码:431-438
  • 分类:TP273[自动化与计算机技术—控制科学与工程;自动化与计算机技术—检测技术与自动化装置]
  • 作者机构:[1]西安交通大学电子与信息工程学院系统工程研究所,陕西西安710049
  • 相关基金:国家自然科学基金资助项目(61173111;60774086);教育部博士点基金资助项目(20090201110027).
  • 相关项目:人类基因组内含子与SNP的关系分析及其在SNP优选和剪接位点识别中的应用
中文摘要:

舆论传播研究的重要方向是其动力学分析,目前已经建立了多种动力学模型并应用于特定的网络结构,然而缺乏动力学模型中结合社团和个体差异性的分析.为了挖掘社团网络结构下的舆论传播规律,本文建立了具有社团结构、演变规则和个体差异性的两社团舆论传播模型,其中引入了体现社团和个体差异性的参数集合,并通过计算机仿真分析给出了不同的社团公关能力和观点领袖作用下的舆论演进趋势.结果表明:在社团对外公关能力相当时,加强社团内部公关能力有积极作用;对外公关能力强的社团加强内部公关结果却适得其反;社团对外公关能力和观点领袖对舆论传播的引导作用显著,但是观点领袖的个人作用难以对抗社团对外公关能力的整体优势.

英文摘要:

Recently, a lot of opinion dynamic models were proposed and applied to specific network structure. However, few dynamic models focused on the difference analysis that combines community and individual characteristics. In order to reveal features of opinion propagation on networks with community structures, a dynamic model with two communities is presented which takes into account the differences in community structures, evolution rules and individual characteristics. In the model, a set of parameters are defined to quan- tify such differences, and their effect on public propagation trends is studied by means of computer simulation. The experimental results show the following conclusions. If external public relations abilities between the two communities are equal, strengthening communities' internal public relations ability would result in an positive effect. However, if the community with better external public relations ability strengthens its internal public relations ability, it would obtain an opposite result; In addition, both communities' external public relations ability and the opinion leader play a significant role in guiding opinion propagation, however, opinion leader's personal effect is hard to fight against the overall advantage of the communities' external public relations ability.

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期刊信息
  • 《系统工程学报》
  • 北大核心期刊(2014版)
  • 主管单位:中国科协
  • 主办单位:中国系统工程学会
  • 主编:唐万生
  • 地址:天津市卫津路92号
  • 邮编:300072
  • 邮箱:jsetju@263.net
  • 电话:022-27403197
  • 国际标准刊号:ISSN:1000-5781
  • 国内统一刊号:ISSN:12-1141/O1
  • 邮发代号:6-95
  • 获奖情况:
  • 国内外数据库收录:
  • 美国数学评论(网络版),德国数学文摘,日本日本科学技术振兴机构数据库,中国中国科技核心期刊,中国北大核心期刊(2004版),中国北大核心期刊(2008版),中国北大核心期刊(2011版),中国北大核心期刊(2014版)
  • 被引量:14850