摘要
[目的/意义]提出基于多重图的社交网络用户可信度评价方法,为网络信息生态治理提供有效依据,为有害次生舆情管理提供理论基础。[方法/过程]构建了网络欺凌和隐私泄露特征抽取指标体系;利用多重图表示社交网络用户动态信息网络;根据提取到的网络欺凌和隐私泄露信息进行用户信息行为分析;利用德尔菲法确定网络欺凌行为与隐私泄露行为概率的权重,综合分析社交网络用户可信度。[结果/结论]实验结果表明,基于多重图的用户可信度评价结果与基于调查问卷的用户可信度评价结果基本一致,说明利用多重图的社交网络用户可信度评价方法具有一定的可行性。
[Purpose/Significance]A credibility evaluation method for social network users based on multigraph was proposed,aiming to provide an effective method for ecological governance of network information and a theoretical basis for the management of network secondary public opinion with negative effects.[Method/Process]The paper constructed the index system of feature extraction of cyberbullying and privacy disclosure,and the dynamic information network of social network users was expressed by using multigraph.The extracted information of cyberbullying and privacy disclosure was used to evaluate information behavior of network users.The probability weight of cyberbullying and privacy disclosure was determined by Delphi method,and the credibility of social network users was comprehensively analyzed.[Result/Conclusion]The experimental results showed that the result of the users credibility evaluation based on multigraph was basically the same as the result obtained by the questionnaire,indicating that it is feasible to use multigraph to evaluate the credibility of social network users.
作者
沈旺
代旺
高雪倩
孙美颀
Shen Wang;Dai Wang;Gao Xueqian;Sun Meiqi(School of Management,Jilin University,Changchun 130022,China)
出处
《现代情报》
CSSCI
2020年第8期27-37,共11页
Journal of Modern Information
基金
国家自然科学基金项目“基于图模型的多源异构在线产品评论数据融合与知识发现研究”(项目编号:71974075)。
关键词
社交网络
多重图
网络欺凌
隐私泄露
用户可信度
social network
multigraph
cyberbullying
privacy disclosure
credibility of users
