| 引用本文： |
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苏俊燕,孔令江,刘慕仁,张海民.加权网络上舆论传播的演化研究[J].广西科学,2009,16(4):410-413. [点击复制]
- SU Jun-yan,KONG Ling-jiang,LIU Mu-ren,ZHANG Hai-min.Study on Opinion Dynamic Model Based on Weighted Networks[J].Guangxi Sciences,2009,16(4):410-413. [点击复制]
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| 摘要: |
| 应用计算机模拟研究舆论传播在加权网络上的演化过程。结果发现,加权网络上舆论传播时,连接条数越大,系统就越容易形成一致意见;权重的引入不利于一致意见的形成,异步更新方式较同步更新方式不利于系统一致意见终态的形成。 |
| 关键词: 舆论传播 演化 加权网络 计算机模拟 |
| DOI： |
| 投稿时间：2009-03-20 |
| 基金项目:国家自然科学基金项目(70371067,10562001)资助 |
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| Study on Opinion Dynamic Model Based on Weighted Networks |
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SU Jun-yan1, KONG Ling-jiang2, LIU Mu-ren2, ZHANG Hai-min1
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| (1.School of Science, Lanzhou University of Technology, Lanzhou, Gansu, 730050, China;2.College of Physics and Information Engineering, Guangxi Normal University, Guilin, Guangxi, 541004, China) |
| Abstract: |
| A research on evolving process of consensus that based on the weighted networks by computer simulation are made.The results showed that the greater the links, the easier the system is to form a consensus on the weighted networks;the weight is not conducive to the formation of consensus;asynchronous update is not beneficial for final state formation in comparison with synchronous update. |
| Key words: consensus evolution weighted networks computer simulation |
