[1]戚 湧,许 凤.基于演化博弈的互联网协同治理[J].南京理工大学学报(自然科学版),2016,40(06):752.[doi:10.14177/j.cnki.32-1397n.2016.40.06.018]
 Qi Yong,Xu Feng.Internet collaborative governance based on evolutionary game[J].Journal of Nanjing University of Science and Technology,2016,40(06):752.[doi:10.14177/j.cnki.32-1397n.2016.40.06.018]
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基于演化博弈的互联网协同治理
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《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

卷:
40卷
期数:
2016年06期
页码:
752
栏目:
出版日期:
2016-12-30

文章信息/Info

Title:
Internet collaborative governance based on evolutionary game
文章编号:
1005-9830(2016)06-0752-07
作者:
戚 湧许 凤
南京理工大学 经济管理学院,江苏 南京 210094
Author(s):
Qi YongXu Feng
School of Economics and Management,Nanjing University of Science and Technology,Nanjing 210094,China
关键词:
演化博弈 互联网治理 协同治理 多群体模仿者 动态模型
Keywords:
evolutionary game internet governance collaborative governance multipopulation replicator dynamics model
分类号:
G311
DOI:
10.14177/j.cnki.32-1397n.2016.40.06.018
摘要:
为推进政府、行业、网民和社会组织进行互联网协同治理,进行了演化博弈研究。基于多群体模仿者动态模型,将互联网治理各方按照性质分为政府与非政府双方。进行演化博弈结果仿真及影响因素分析,研究如何增强在互联网治理中双方的合作动力。为增强互联网企业和网民参与互联网治理的积极性,需要提高互联网治理的政策支持力度、降低互联网治理成本、降低协同治理成本。
Abstract:
Evolutionary game is researched for internet collaborative governance of the government,industries,internet users and social organizations.All sides are divided into government and non government based on multipopulation replicator dynamics model.The results of the evolutionary game are simulated and the impact factors are analyzed to enhance the cooperation of both sides for internet collaborative governance.Internet governance policy support should be improved and the cost of internet governance and collaborative governance should be reduced to improve the initiative of industries and internet users.

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备注/Memo

备注/Memo:
收稿日期:2016-07-16 修回日期:2016-11-04
基金项目:国家自然科学基金(61272419); 江苏省社会科学基金(14SZB018)
作者简介:戚湧(1970-),男,教授、博士生导师,主要研究方向:互联网协同治理,E-mail:790815561@qq.com。
引文格式:戚湧,许凤.基于演化博弈的互联网协同治理[J].南京理工大学学报,2016,40(6):752-758.
投稿网址:http://zrxuebao.njust.edu.cn
更新日期/Last Update: 2016-12-30