政策与部门视角下中国网络空间治理——基于LDA和SNA的大数据分析
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摘要
结合数据挖掘、主题建模、网络分析等多源融合的大数据分析法,针对网络空间治理政策及部门协同进行研究,对政策提升与机制优化具有重要意义。基于深度挖掘的网络空间政策文本,采用概率主题模型(LDA)从文本中发现并提取低维主题集合,分析主题分布;结合社会网络分析(SNA),对出台政策涉及联合发文的部门开展合作网络分析;提取六项分类主题为指标,评估治理政策的布局特征;从部门合作网络整体结构和网络中心性两个维度,评估组织间协同合作效果,为政府政策优化和协同合作提供理论依据与决策建议。
Using the big data analysis method of multi-source fusion, such as data mining, theme modeling and network analysis,research was conducted on the policy and interdepartmental collaboration in network space governance, which is of great significance to policy improvement and mechanism optimization. Based on in-depth mining of the network space policy texts of each department,LDA model was adopted to discover and extract low-dimensional subject sets from the texts and analyze policy distribution.Combined with social network analysis(SNA),cooperative network analysis was carried out for the departments involved in the joint publication policy. Finally, six topics were extracted as indicators for evaluating the layout features of cyber space governance policies. This experimental mining of policies and departments in cyber space governance reflects the status quo and demands of the industry, and provides a theoretical basis and decision-making advice for government policy optimization and collaboration.
Using the big data analysis method of multi-source fusion, such as data mining, theme modeling and network analysis,research was conducted on the policy and interdepartmental collaboration in network space governance, which is of great significance to policy improvement and mechanism optimization. Based on in-depth mining of the network space policy texts of each department,LDA model was adopted to discover and extract low-dimensional subject sets from the texts and analyze policy distribution.Combined with social network analysis(SNA),cooperative network analysis was carried out for the departments involved in the joint publication policy. Finally, six topics were extracted as indicators for evaluating the layout features of cyber space governance policies. This experimental mining of policies and departments in cyber space governance reflects the status quo and demands of the industry, and provides a theoretical basis and decision-making advice for government policy optimization and collaboration.
引文
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[15]张紧跟.地方政府创新中的参与式治理趋向:以广州为例[J].人文杂志,2013(10):103-112.
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[19]DONGRYUL H.A study on the research trends in arts management in Korea using topic modeling and semantic network analysis[J].Korean association of arts management,2018(47):5-29.
[20]王洪伟,高松,陆頲.基于LDA和SNA的在线新闻热点识别研究[J].情报学报,2016,35(10):1022-1037.
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[22]康伟.基于SNA的突发事件网络舆情关键节点识别---以“7·23动车事故”为例[J].公共管理学报,2012,9(3):101-111,127-128.
[23]WONODI C B,PRIVORDUMM L,AINA M,et al.Using social network analysis to examine the decision-making process on new vaccine introduction in Nigeria[J].Health Policy&Planning,2012,27(suppl_2):27.
[24]官琴,邓三鸿,王昊.中文文本聚类常用停用词表对比研究[J].数据分析与知识发现,2017(3):72-80.
[25]刘少华,刘凌云.新网络空间治理营造良好网络环境的四大举措[J].中国行政管理,2016(10):157-159.
[26]MAYHEW B H,LEVINGER R L.Size and the density of interaction in human aggregates[J].American Journal of Sociology,1976,82(1):86-110.
[27]何明升.中国网络治理的定位及现实路径[J].中国社会科学,2016(7):112-119.
(1)jieba中文分词软件包:https://pypi.org/project/jieba/。
(2)Sklearn数据分析包:http://scikit-learn.org/stable/。
(3)matplotlib数据分析包:https://matplotlib.org。
[2]董爱先.国际网络空间治理的主要举措、特点及发展趋势[J].信息安全与通信保密,2014(1):36-41.
[3]鲁传颖.网络空间全球治理与多利益攸关方的理论与实践探索[D].上海:华东师范大学,2016.
[4]习近平.在第二届世界互联网大会开幕式上的讲话[N].人民日报,2015-12-17(002).
[5]朱琳.大学生网络行为失范的类型、成因与对策[J].华东师范大学学报(教育科学版),2016,34(2):88-95,121.
[6]杨怀中,朱文华.网络空间治理及其伦理秩序建构[J].自然辩证法研究,2018,34(2):114-118.
[7]YANNAKOGEORGOS P A.Internet governance and national security[J].International Strategic Studies Quarterly,2012,6(3):103.
[8]王明国.全球互联网治理的模式变迁、制度逻辑与重构路径[J].世界经济与政治,2015(3):47-73,157-158.
[9]秦前红,李少文.网络公共空间治理的法治原理[J].现代法学,2014,36(6):15-26.
[10]张康之,向玉琼.网络空间中的政策问题建构[J].中国社会科学,2015(2):123-138,205.
[11]FULDA A,LI Y,SONG Q H.New strategies of civil society in China:a case study of the network governance approach[J].Journal of Contemporary China,2012(21):675-693.
[12]杨嵘均.论网络空间草根民主与权力监督和政策制定的互逆作用及其治理[J].政治学研究,2015(3):110-122.
[13]王传宝,滕瀚.互联网治理挑战及对策探析[J].社会治理,2018(3):48-55.
[14]黄萃,任弢,李江等.责任与利益:基于政策文献量化分析的中国科技创新政策府际合作关系演进研究[J].管理世界,2015(12):68-81.
[15]张紧跟.地方政府创新中的参与式治理趋向:以广州为例[J].人文杂志,2013(10):103-112.
[16]任勇.政策网络的两种分析途径及其影响[J].公共管理学报,2005(3):55-59,69-95.
[17]GJELTEN T.Behind the cyber disarmament’s debate[J].Army,2011(3):33.
[18]吴世忠,秦安.打造国家网络空间治理体系[J].中国信息安全,2013(9):34-38.
[19]DONGRYUL H.A study on the research trends in arts management in Korea using topic modeling and semantic network analysis[J].Korean association of arts management,2018(47):5-29.
[20]王洪伟,高松,陆頲.基于LDA和SNA的在线新闻热点识别研究[J].情报学报,2016,35(10):1022-1037.
[21]孟天广,李锋.网络空间的政治互动:公民诉求与政府回应性---基于全国性网络问政平台的大数据分析[J].清华大学学报(哲学社会科学版),2015,30(3):17-29.
[22]康伟.基于SNA的突发事件网络舆情关键节点识别---以“7·23动车事故”为例[J].公共管理学报,2012,9(3):101-111,127-128.
[23]WONODI C B,PRIVORDUMM L,AINA M,et al.Using social network analysis to examine the decision-making process on new vaccine introduction in Nigeria[J].Health Policy&Planning,2012,27(suppl_2):27.
[24]官琴,邓三鸿,王昊.中文文本聚类常用停用词表对比研究[J].数据分析与知识发现,2017(3):72-80.
[25]刘少华,刘凌云.新网络空间治理营造良好网络环境的四大举措[J].中国行政管理,2016(10):157-159.
[26]MAYHEW B H,LEVINGER R L.Size and the density of interaction in human aggregates[J].American Journal of Sociology,1976,82(1):86-110.
[27]何明升.中国网络治理的定位及现实路径[J].中国社会科学,2016(7):112-119.
(1)jieba中文分词软件包:https://pypi.org/project/jieba/。
(2)Sklearn数据分析包:http://scikit-learn.org/stable/。
(3)matplotlib数据分析包:https://matplotlib.org。