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基于网络结构特征的大规模虚假评论群组识别 被引量:1
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作者 魏瑾瑞 王若彤 王晗 《运筹与管理》 CSSCI CSCD 北大核心 2023年第1期194-200,共7页
目前识别虚假评论的方法主要基于评论内容的文本特征和评论者的行为特征,然而评论文本与评论者行为容易被伪造和模仿,且这两类方法只能对虚假评论逐个识别,本文考虑了虚假评论的网络结构特征,通过分析评论者的网络行为及评论者节点间的... 目前识别虚假评论的方法主要基于评论内容的文本特征和评论者的行为特征,然而评论文本与评论者行为容易被伪造和模仿,且这两类方法只能对虚假评论逐个识别,本文考虑了虚假评论的网络结构特征,通过分析评论者的网络行为及评论者节点间的网络结构特征定义相邻节点多样性与自相似性,利用累积分布函数估计其概率并合成网络行为得分,以得分高的可疑产品为种子建立2-hop子图,筛选子图中高度相似的虚假评论候选群组,利用GroupStrainer、HDBSCAN等算法对其进行聚类合并,以发现隐藏的虚假评论群组。以亚马逊四类最畅销的产品数据集为样本进行实证分析的结果表明,文中提出的方法能够有效识别隐藏较深的大规模虚假评论群组,综合群组内容的统计特征分析发现,虚假评论群组对目标产品的攻击模式存在产品类别差异,虚假评论群组比真实评论者对目标产品具有更强的集中度,但同时也会利用其它非目标产品对自身进行伪装以弱化其可疑性。 展开更多
关键词 评论网络结构 虚假评论群组 网络行为得分
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Injections of ginkgo in the treatment of cerebral infarction: a systematic review and network Meta-analysis 被引量:12
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作者 Tan Di Wu Jiarui +4 位作者 Liu Shi Zhang Dan Cui Yingying Zhang Xiaomeng Zhang Bing 《Journal of Traditional Chinese Medicine》 SCIE CAS CSCD 2018年第1期1-11,共11页
OBJECTIVE: To assess the clinical effectiveness and safety of injections of ginkgo (GI) combined with Western Medicine (WM) for cerebral infarction (C/). METHODS; Randomized controlled trials (RCTs) of C/trea... OBJECTIVE: To assess the clinical effectiveness and safety of injections of ginkgo (GI) combined with Western Medicine (WM) for cerebral infarction (C/). METHODS; Randomized controlled trials (RCTs) of C/treated by GI were searched in China National Knowledge Infrastructure Database, Wanfang, China Science and Technology Journal Database, Web of Science, Cochrane library, Embase, PubMed and Chinese Biomedical Literature Database, with the publication data no later than April, 2016. The Co- chrane risk of bias method was used to evaluate the methodological quality of the RCTs. The data were analyzed by Review Manager 5.3, Stata 13.0, and WinBUGS 14 software.RESULTS: Totally 37 RCTs involving 4330 patients were included. By direct comparison, the results of GI group were significantly superior to the routine WM group in the total effective rates [OR = 3.61, 95% CI (2.93, 4.44), P 〈 0.0001], the neural function defect score (NFDS) [MD = - 4.39, 95% CI (- 5.47, - 3.32), P 〈 0.0001]. Network Meta-analysis (NMA) results showed that, between S GIs in efficacy, the difference comparing ginaton injections (GbE) to ginkgo-dipyidamolum injections (GD) [OR = 1.74, 95% CI (0.73, 3.65)], shuxuening injections (SXN) [OR = 1.06, 95% CI (0.609, 1.697)] or ginkgolides in- jections (GK) [OR = 4.711, 95% CI (1.178, 13.21)] reach statistical significance; the difference compar- ing GD to GK reach statistical significance [OR = 2.791, 95% CI (0.866, 6.908)]; the difference com- paring SXN to GK reach statistical significance [OR = 4.537, 95% CI (1.203, 12.41)]. Besides, there was no difference between 4 GIs in NFDS. Proba- bility ranking result showed a great possibility for GK [Surface under the Cumulative Ranking curve (SUCRA) = 80.3%] in improving the total effective rates, which were followed by GD (SUCRA = 73.34%), SXN (SUCRA = 46.59%), GbE (SUCRA = 45.46%), floium ginkgo extract and tertram ethy- pyrazine sodium chloride injections (FT) (SU- CRA = 35.64%). However, GK (SUCRA = 80.3%) or GbE (SUCRA = 69.4%) was better than other GIs in reducing NFDS.GK + WM is the best treatment measures to reduce NFDS in cerebral infarction, which were followed by SXN + WM (SUCRA = 51.6%), GD + WM (SUCRA = 48.1%). CONCLUSION: GIs was more effectiveness on CI than the routine Western Medicine. But based on the limitations of the study, more high-quality ran- domized controlled trials will be necessary. 展开更多
关键词 tnjections Ginkgo biloba Cerebral in-farction Network Meta-analysis REVIEW
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