[1] 成俊会,张思,吉清凯.基于SNA的社会热点事件微博舆情阶段性传播网络的结构分析——以"于欢案"为例[J].管理评论, 2019,31(3):295-304 [2] 原光,曹现强."涉官"网络舆情中政府回应效果的影响因素分析——基于139个案例的实证研究[J].情报杂志, 2019,38(8):126-135 [3] 刘波维,曾润喜.我国食品安全网络舆情研究现状分析[J].情报杂志, 2017,36(6):122-127 [4] 张宏邦.食品安全风险传播与协同治理研究——以2007-2016年媒体曝光事件为对象[J].情报杂志, 2017,36(12):58-62 [5] 洪小娟,姜楠,洪巍,等.媒体信息传播网络研究——以食品安全微博舆情为例[J].管理评论, 2016,28(8):115-124 [6] 于长雷,赵红.重大网络突发事件对房地产市场的影响研究[J].管理评论, 2016,28(8):66-70 [7] 洪巍,李青,吴林海.考虑信息真伪的食品安全网络舆情传播仿真与管理对策研究[J].系统工程理论与实践, 2017,37(12):3253-3269 [8] Yan Z., Huang Z., Wang Y., et al.Are Social Embeddedness Associated with Food Risk Perception under Media Coverage?[J].Journal of Integrative Agriculture, 2019,18(8):1804-1819 [9] Zhu X., Huang I.Y., Manning L.The Role of Media Reporting in Food Safety Governance in China:A Dairy Case Study[J].Food Control, 2019,96:165-179 [10] 张焕勇,李峰,张丹.我国高速铁路顾客满意度研究——以沪宁高铁为例[J].价格理论与实践, 2013,(10):88-89 [11] Wu X., Nie L., Xu M., et al.Distribution Planning Problem for a High-Speed Rail Catering Service Considering Time-Varying Demands and Pedestrian Congestion:A Lot-Sizing-Based Model and Decomposition Algorithm[J].Transportation Research Part E-Logistics and Transportation Review, 2019,123:61-89 [12] Alexa.Traffic Detail (sina.com.cn)[EB/OL].http://www.alexa.com/siteinfo/www.sina.com.cn, 2017-04-14 [13] Agneessens F., Borgatti S.P., Everett M.G.Geodesic Based Centrality:Unifying the Local and the Global[J].Social Networks, 2017,49:12-26 [14] Barabasi A.L., Albert R., Jeong H.Mean-Field Theory for Scale-Free Random Networks[J].Physica A:Statistical Mechanics and its Applications, 1999,272(1-2):173-187 [15] Rui X., Jie J., He H.Distantly Supervised Lifelong Learning for Large-Scale Social Media Sentiment Analysis[J].IEEE Transactions on Affective Computing, 2017,8(4):480-491 [16] 孟园,王洪伟,王伟.网络口碑对产品销量的影响:基于细粒度的情感分析方法[J].管理评论, 2017,29(1):144-154 [17] 郭宇,王晰巍,李师萌,等.基于情感分析的社会网络用户影响力模型研究[J].情报学报, 2017,(11):1139-1147 [18] Cho H., Kim S., Lee J., et al.Data-Driven Integration of Multiple Sentiment Dictionaries for Lexicon-Based Sentiment Classification of Product Reviews[J].Knowledge-Based Systems, 2014,71:61-71 [19] 郁圣卫,卢奇,陈文亮.基于领域情感词典特征表示的细粒度意见挖掘[J].中文信息学报, 2019,33(2):112-121 [20] Liu Y., Bi J., Fan Z.Multi-Class Sentiment Classification:The Experimental Comparisons of Feature Selection and Machine Learning Algorithms[J].Expert Systems with Applications, 2017,80:323-339 [21] Araque O., Corcuera-Platas I., Sánchez-Rada J.F., et al.Enhancing Deep Learning Sentiment Analysis with Ensemble Techniques in Social Applications[J].Expert Systems with Applications, 2017,7:236-246 [22] Li L., Ye J., Deng F., et al.A Comparison Study of Clustering Algorithms for Microblog Posts[J].Cluster Computing, 2016,19(3):1333-1345 [23] Luo Q., Zhai X."I will Never Go to Hong Kong Again!" How the Secondary Crisis Communication of "Occupy Central" on Weibo Shifted to a Tourism Boycott[J].Tourism Management, 2017,62:159-172 [24] Tao Y., Zhang F., Shi C., et al.Social Media Data-Based Sentiment Analysis of Tourists'Air Quality Perceptions[J].Sustainability, 2019,11(18):5070 [25] 谭雪晗,涂艳,马哲坤.基于SNA的事故灾难舆情关键用户识别及治理[J].情报学报, 2017,(3):81-90 [26] 姚伟,孟盈,陈劲,等.实践社区中知识动员演化模型研究[J].科学学研究, 2018,(8):1455-1465 [27] Rost虚拟学习团队[EB/OL].http://www.fanpq.com, 2013-07-20 [28] 谢修娟,李香菊,莫凌飞.基于改进K-means算法的微博舆情分析研究[J].计算机工程与科学, 2018,40(1):155-158 [29] 刘怡君,陈思佳,黄远,等.重大生产安全事故的网络舆情传播分析及其政策建议——以"8· 12天津港爆炸事故"为例[J].管理评论, 2016,28(3):221-229 [30] 吴青林,周天宏.基于话题聚类及情感强度的中文微博舆情分析[J].情报理论与实践, 2016,39(1):109-112 [31] 裴超,肖诗斌,江敏.基于改进的LDA主题模型的微博用户聚类研究[J].情报理论与实践, 2016,39(3):139-143 |