[1] 姚曦, 秦雪冰. 技术与生存: 数字营销的本质[J]. 新闻大学, 2013(6): 58-63, 33. YAO X, QIN X B.Technology and survival: The essence of digital marketing[J]. Journalism bimonthly, 2013(6): 58-63, 33. [2] 鲍磊, 江梓毓, 奚凯悦. 数字营销的发展: 从1.0时代到4.0时代的进化[J]. 山东纺织经济, 2022(2): 19-22. BAO L, JIANG Z Y, XI K Y.Development of digital marketing: Evolution from era 1.0 to era 4.0[J]. Shandong textile economy 3 2022(2): 19-22. [3] 凯特·兰伯顿, 安德鲁·斯蒂芬, 刘国华,等. 数字营销:过去、现在与将来(二)[J].公关世界, 2017, 13: 34-39. LAMBERTON C, STEPHEN A T, LIU G H, et al.A thematic exploration of digital, social media, and mobile marketing: Research evolution from 2000 to 2015 and an agenda for future inquiry[J]. Pr world, 2017, 13: 34-39. [4] 栗建文. 2019数字营销: 欢迎进入中场时间[J]. IT经理世界, 2018(23): 46-49. LI J W.Efficiency evaluation of public libraries in Weibo based on data envelopment analysis[J]. IT manager world, 2018(23): 46-49. [5] B, CORBO L, SILVA S C, et al. The evolving role of artificial intelligence in marketing: A review and research agenda[J]. Journal of business research, 2021, 128: 187-203. [6] LUANGRATH A, PECK J, HEDGCOCK W, et al.Observing product touch: The vicarious haptic effect in digital marketing and virtual reality[J]. Journal of marketing research, 2021, 59: 306-326. [7] 王帅. 突发公共卫生事件情境下在线健康社区用户画像与分群研究[J]. 情报科学, 2022, 40(6): 98-107. WANG S.Study on user portrait and clustering of online health community in the context of public health emergencies[J]. Informa- tion science, 2022, 40(6): 98-107. [8] 郭顺利, 张宇. 基于VALS2的在线健康社区大学生用户群体画像构建研究[J]. 现代情报, 2021, 41(10): 47-58. GUO S L, ZHANG Y.Research on user profile construction of college students in online health community based on VALS2[J]. Modern information, 2021, 41(10): 47-58. [9] 李玉媛, 熊回香, 杨梦婷, 等. 基于社会网络分析与LDA的虚拟学术社区中用户群体主题挖掘研究[J]. 情报科学, 2021, 39(11): 110-116, 132. LI Y Y, XIONG H X, YANG M T, et al.Theme analysis of user group in virtual academic community based on social network analysis and LDA model[J]. Information science, 2021, 39(11): 110-116, 132. [10] 王泰, 曾悦. 基于正则等价的虚拟学习社区角色分类[J]. 电化教育研究, 2021, 42(3): 55-61. WANG T, ZENG Y.Regular equivalence-based role classification in virtual learning community[J]. E-education research, 2021, 42(3): 55-61. [11] 吴江, 周露莎. 在线医疗社区中知识共享网络及知识互动行为研究[J]. 情报科学, 2017, 35(3): 144-151. WU J, ZHOU L S.The study of knowledge sharing network and users' knowledge interaction in online health community[J]. Information science, 2017, 35(3): 144-151. [12] XU G Q, GUO J W, YANG P L.TNS-LPA: An improved label propagation algorithm for community detection based on two-level neighbourhood similarity[J]. IEEE access, 2021, 9: 23526-23536. [13] 刘伟, 丁志慧. 基于参与行为的兴趣型虚拟社区成员分类研究[J]. 商业研究, 2012(11): 92-95. LIU W, DING Z H.Research on the classification of interested vir-tual community members based on participatory behavior[J]. Com-mercial research, 2012(11): 92-95. [14] 王帅, 纪雪梅. 基于在线健康社区用户画像的情感表达特征研究[J]. 情报理论与实践, 2022, 45(6): 179-187. WANG S, JI X M.Research on emotional expression characteristics based on user portrait in online health community[J]. Informationstudies: Theory & application, 2022, 45(6): 179-187. [15] DU Y J, WANG Y K, HU J R, et al.An emotion role mining approach based on multiview ensemble learning in social networks[J]. Information fusion, 2022, 88: 100-114. [16] 吴江, 刘涛, 刘洋. 在线社区用户画像及自我呈现主题挖掘——以网易云音乐社区为例[J]. 数据分析与知识发现, 2022, 6(7): 56-69. WU J, LIU T, LIU Y.Mining online user profiles and self-presen-tations: Case study of NetEase music community[J]. Data analysis and knowledge discovery, 2022, 6(7): 56-69. [17] 王若佳, 严承希, 郭凤英, 等. 基于用户画像的在线健康社区用户流失预测研究[J]. 数据分析与知识发现, 2022(2): 80-92. WANG R J, YAN C X, GUO F Y, et al.Predicting churners of online health communities based on the user Persona[J]. Data analysis and knowledge discovery, 2022(2): 80-92. [18] 盛姝, 黄奇, 郑姝雅, 等. 在线健康社区中用户画像及主题特征分布下信息需求研究——以医享网结直肠癌圈数据为例[J]. 情报学报, 2021, 40(3): 308-320. SHENG S, HUANG Q, ZHENG S Y, et al.Study of user informa-tion requirements in an online health community based on the distri-bution of user profile and theme features: Taking colorectal cancer data from YiXiang as an example[J]. Journal of the China society for scientific and technical information, 2021, 40(3): 308-320. [19] 李颖, 王亚民. 基于兴趣社区的知识库构建[J]. 情报理论与实践, 2014, 37(9): 86-91. LI Y, WANG Y M.Knowledge base construction based on interest community[J]. Information studies: Theory & application, 2014, 37(9): 86-91. [20] 邓卫华, 易明. 虚拟社区中基于Tag的知识协同伙伴选择策略[J]. 现代图书情报技术, 2013(12): 88-93. DENG W H, YI M.A research on selecting partners of knowledge collaboration in virtual community based on tag[J]. New technology of library and information service, 2013(12): 88-93. [21] LIAO S, WIDOWATI R, HSIEH Y C.Investigating online social media users' behaviors for social commerce recommendations[J]. Technology in society, 2021, 66(3): 43-51. [22] 张一涵, 袁勤俭. 社交金融环境下用户对银行网络平台设计属性的偏好研究[J]. 现代情报, 2020, 40(11): 116-127. ZHANG Y H, YUAN Q J.Research on the user's preference for the design attributes of online banking platform in social financial environment[J]. Modern information, 2020, 40(11): 116-127. [23] 董伟, 陶金虎. 基于主题偏好的在线健康社区用户兴趣群体识别研究——以医享网为例[J]. 情报科学, 2021, 39(3): 88-93, 119. DONG W, TAO J H.Research on the identification of users' interest groups in online health community based on topic preference: An investigation of yx129.com[J]. Information science, 2021, 39(3): 88-93, 119. [24] 张海涛, 宋拓, 周红磊, 等. 基于谱聚类的虚拟健康社区知识聚合方法研究[J]. 图书情报工作, 2020, 64(8): 134-140. ZHANG H T, SONG T, ZHOU H L, et al.Research on knowledge aggregation method of virtual healthy community based on spectral clustering[J]. Library and information service, 2020, 64(8): 134-140. [25] 张连峰, 李慧, 遆云鹤. 基于虚拟学术社区的知识聚合模型构建研究[J]. 情报科学, 2019, 37(6): 55-60, 74. ZHANG L F, LI H, TI Y H.Knowledge aggregation model based on virtual academic community[J]. Information science, 2019, 37(6): 55-60, 74. [26] 周新民, 陈晓红, 钟敏娟, 等. 基于主题标签的在线社区话题发现[J]. 系统工程, 2017, 35(7): 40-46. ZHOU X M, CHEN X H, ZHONG M J, et al.Online community topic detection based on label[J]. Systems engineering, 2017, 35(7): 40-46. [27] 张鑫. 在线健康社区用户参与行为的类型及偏好研究[J]. 情报资料工作, 2019, 40(5): 84-91. ZHANG X.Research on types and preferences of user participation behavior in online community[J]. Information and documentation services, 2019, 40(5): 84-91. [28] SONG B, WU H, LI X, et al.The design and development of the virtual learning community for teaching resources personalized recommendation[C] //Tan yingtakagi hideyukishi yuhuiniu ben. Cham: Springer International Publishing, 2017. 109-118. [29] 周朴雄, 陈涛. 虚拟社区中基于相似标签聚类的语义信息推荐[J]. 情报理论与实践, 2013, 36(10): 100-104. ZHOU P X, CHEN T.Semantic information recommendation based on similar tag clustering in virtual community[J]. Information studies: Theory & application, 2013, 36(10): 100-104. [30] 翟姗姗, 胡畔, 潘英增, 等. 融合知识图谱与用户病情画像的在线医疗社区场景化信息推荐研究[J]. 情报科学, 2021, 39(5): 97-105. ZHAI S S, HU P, PAN Y Z, et al.Research on scene information recommendation of online medical community integrating knowledge map and user's illness portrait[J]. Information science, 2021, 39(5): 97-105. [31] OJAGH S, MALEK M, SAEEDI S, et al.A location-based orientation-aware recommender system using IoT smart devices and Social Networks[J]. Future gener comput syst, 2020, 108: 97-118. [32] PABLO C, RIOS SEBASTIAN A, FELIPE A, et al.Neuro-semantic prediction of user decisions to contribute content to online social networks[J]. Neural computing & applications, 2022, 34(19): 21-22. [33] CHEN Q, LI G H, ZHOU Q, et al.Double attention convolutional neural network for sequential recommendation[J]. ACM transactions on the web, 2022, 16(4): 1-23. [34] JIANG L, WANG Y Q, XIE S S, et al.Which courses to choose? Recommending courses to groups of students in online tutoring platforms[J]. Applied Intelligence, 2022: 1-10. [35] 刘松, 楼嘉军. 上海市城镇居民休闲消费潜力测度及评价[J]. 城市问题, 2019(4): 88-95. LIU S, LOU J J.Comprehensive measurement and evaluation on the leisure consumption potential of Shanghai's urban residents[J]. Urban problems, 2019(4): 88-95. [36] 李研, 洪俊杰. 居民消费不平衡的统计测度及消费潜力分析[J]. 数量经济技术经济研究, 2021, 38(11): 84-102. LI Y, HONG J J.Statistical measurement of resident consumption imbalance and analysis of consumption potential[J]. The journal of quantitative & technical economics, 2021, 38(11): 84-102. [37] 宋泽, 邹红. 增长中的分化: 同群效应对家庭消费的影响研究[J].经济研究, 2021, 56(1): 74-89. SONG Z, ZOU H.Stratification in growth: The influence of peer effect on household consumption[J]. Economic research journal, 2021, 56(1): 74-89. [38] 吴石英, 马芒. 人口变动、消费结构与居民消费潜力释放——基于省际动态面板数据的GMM分析[J]. 当代经济管理, 2018, 40(4): 8-15. WU S Y, MA M.Population change, consumption structure and re-lease of residents' consumption potential - Based on GMM analysis of provincial dynamic panel data[J]. Contemporary economic manage-ment, 2018, 40(4): 8-15. [39] 龙少波, 张睿. 消费环境改善对居民消费潜力的影响研究 ——基于当期剩余消费潜力的视角[J]. 统计与信息论坛, 2021, 36(1): 79-89. LONG S B, ZHANG R.Research on the influence of consumption environment improvement on residents' consumption potential: Based on the current surplus consumption potential perspective[J]. Statistics & information forum, 2021, 36(1): 79-89. [40] 唐烨. 居民消费潜力综合评价指标体系构建及其演变趋势[J]. 商业经济研究, 2022(3): 60-62. [41] 张效莉, 余颖博. 我国居民消费潜力测度及其影响因素研究——基于对上海、天津等11个省市数据的实证分析[J]. 价格理论与实践, 2022(3): 77-80, 204. ZHANG X L, YU Y B.Research on the measurement of residents' consumption potential and its influencing factors - Based on the empirical analysis of data from 11 provinces and cities including Shanghai and Tianjin[J]. Price: theory & practice, 2022(3): 77-80, 204. [42] 陈晨, 郑瑞坤. 后疫情期我国城镇居民消费潜力空间效应差异研究[J]. 现代商业, 2021(3): 18-20. [43] 刘松, 楼嘉军. 城镇居民休闲消费潜力影响因素及其空间异质性[J]. 地域研究与开发, 2022, 41(2): 52-56, 83. LIU S, LOU J J.Influencing factors and spatial heterogeneity of urban residents' leisure consumption potential[J]. Areal research and development, 2022, 41(2): 52-56, 83. [44] 冉研, Min-Ky Lee.直播电商对中国城镇消费潜力释放的影响研究——基于Ordered Probit模型分析[J]. 全国流通经济, 2022(3): 8-13. YAN R, LEE M.Research on the impact of live stream e-commerce on the release of urban consumption potential in China: Based on the Ordered Probit model[J]. China circulation economy, 2022(3): 8-13. [45] 南永清, 宋明月, 肖浩然. 数字普惠金融与城镇居民消费潜力释放[J]. 当代经济研究, 2020(5): 102-112. NAN Y Q, SONG M Y, XIAO H R.Digital inclusive finance and release of urban residents' consumption potential[J]. Contemporary economic research, 2020(5): 102-112. [46] 贺诗倪. 农村居民消费潜力分析——以重庆市为例[J].中国经贸导刊(中), 2020(2): 98-101. HE S N.Analysis of rural residents' consumption potential - Taking Chongqing as an example[J]. China economic & trade herald, 2020(2): 98-101. [47] 许兰壮, 张乐柱, 伍茜蓉. 数字金融释放了农村家庭消费潜力吗——基于边际消费倾向视角的机制分析[J].农业技术经济, 2023(3): 37-52. XU L Z, ZHANG L, WU Q R.Has digital finance release farmers' consumption potential: Mechanism analysis from the perspective of marginal propensity to consume[J]. Journal of agrotechnical eco-nomics, 2023(3): 37-52. [48] 李宝库, 赵博, 刘莹, 等. 农村居民网络消费支付意愿调查分析[J]. 管理世界, 2018, 34(6): 94-103. LI B K, ZHAO B, LIU Y, et al.Investigation and analysis of rural residents' willingness to pay for online consumption[J]. Management world, 2018, 34(6): 94-103. [49] 王晓光, 袁毅. 微博营销效果的影响因素研究——以媒体微博为例[J]. 现代情报, 2015, 35(7): 57-61. WANG X G, YUAN Y.Research on impact factors of effect of micro-blog marketing - Take micro-blog of media for instance[J]. Modern information, 2015, 35(7): 57-61. [50] 孙江华, 颜诗烬. 社交网络特征对微博营销效果的影响——基于电影官方微博面板数据实证研究[J]. 商业研究, 2017(2): 12-18. SUN J H, YAN S.The effects of social network characteristics on the microblog marketing - An empirical study based on the panel data of official movie microblogs[J]. Commercial research, 2017(2): 12-18. [51] 李小龙. 企业微博营销影响因素及效果测量实证研究[D]. 北京: 北京邮电大学. LI X L.Empirical study on influencing factors and effect measurement of enterprise weibo marketing[D].Beijing: Beijing University of Posts and Telecommunications. [52] 李红, 项子晴. 企业微博营销效果影响因素分析——以小米公司为例[J]. 价格月刊, 2017(11): 78-80. LI H, XIANG Z.An analysis of im pacting factor on enterprises weibo marketing effect - Taken Xiaomi as example[J]. Prices monthly, 2017(11): 78-80. [53] 兰燕, 施莉, 吴双. 农产品营销类微信公众号传播效果影响因素分析[J]. 乡村科技, 2022, 13(18): 34-37. LAN Y, SHI L, WU S.Analysis on influencing factors of spreading effect of agricultural products marketing WeChat in WeChat official account[J]. Xiangcun Keji, 2022, 13(18): 34-37. [54] 周付军. 高校社科学报微信公众号传播效果的影响因素与驱动机制——以16种CSSCI学报为例[J]. 中国科技期刊研究, 2022, 33(5): 622-628. ZHOU F J.Influencing factors and driving mechanism of communication effect of WeChat official accounts of university social science journals: Taking 16 CSSCI journals as examples[J]. Chinese journal of scientific and technical periodicals, 2022, 33(5): 622-628. [55] 韩玫, 何跃. 基于DEA的企业微博活动营销效果评估——以S企业官方微博为例[J]. 管理评论, 2015, 27(7): 137-145. HAN M, HE Y.Evaluation of enterprise microblogging event marketing effect based on DEA - Official microblog of S enterprise as an example[J]. Management review, 2015, 27(7): 137-145. [56] 王战平, 柳瑶, 陈铭, 等. 社会化网络环境下营销效果测评——以微博为例[J]. 情报科学, 2015, 33(3): 118-122, 156. WANG Z P, LIU Y, CHEN M, et al.Effectiveness evaluation of marketing on the social web in a case study of micro-blogging[J]. Information science, 2015, 33(3): 118-122, 156. [57] 张雪梅, 王友翠. 基于投入产出分析的政务微博舆情信息传播效率评价研究[J]. 情报科学, 2020, 38(5): 43-48. ZHANG X M, WANG Y C.Information dissemination efficiency evaluation of network public opinion of the government microblogs based on input-output analysis[J]. Information science, 2020, 38(5): 43-48. [58] 刘凤, 李小娟. 基于数据包络分析的公共图书馆微博运营效率评估[J]. 情报探索, 2018(10): 70-74. LIU F, LI X J.Efficiency assessing of public library microblog platform based on DEA approach[J]. Information research, 2018(10): 70-74. [59] 马蕴哲, 崔旭. 图书情报与档案管理类学术期刊微信公众号运营效率研究——基于三阶段dea分析[J].知识管理论坛, 2022, 7(3): 344-355. MA Y, CUI X.Research on the operational efficiency of WeChat public account of academic journals of library, information and archives management - Based on the analysis of three stage dea[J]. Knowledge management forum, 2022, 7(3): 344-355. [60] 王晓敏, 张少华. 中小企业线上直播效果影响因素及机制[J]. 江苏商论, 2022(6): 32-34, 38. WANG X M, ZHANG S H.The influencing factors and mechanism of online live broadcast effect of small and medium-sized enterprises[J]. Jiangsu commercial forum, 2022(6): 32-34, 38. [61] 周国福. 基于机器学习算法的电商直播满意度影响因素分析[J].信阳农林学院学报, 2023, 33(1): 114-118. ZHOU G F.Analysis of factors affecting satisfaction of e-commerce live broadcast based on machine learning algorithm[J]. Journal of Xinyang agriculture and forestry university, 2023, 33(1): 114-118. [62] 张宝明, 夏悦, 杨晨宇. 电商直播效果与影响因素的关系分析[J]. 系统仿真技术, 2021, 17(3): 216-220. ZHANG B M, XIA Y, YANG C Y.Analysis of the relationship between the effect of live e-commerce and its influencing factors[J]. System simulation technology, 2021, 17(3): 216-220. [63] CHEN C P.Hardcore viewer engagement and social exchange with streamers and their digital live streaming communities[J]. Qualitative Market Research: An International Journal, 2023, 26(1): 35-41. [64] SJOBLOM M, HAMARI J.Why do people watch others play video games? An empirical study on the motivations of Twitch users[J]. Computers in human behavior, 2016, 75: 985-996. [65] 田慧敏. 疫情背景下直播营销传播效果的影响因素研究——以明星带货为例[D]. 大连: 大连理工大学. TIAN H M.A study on the influencing factors of the communication effect of live marketing under the epidemic situation - Taking the stars with goods as an example[D]. Dalian: Dalian University of Technology. [66] ZOU Y, ZHANG X Z, ZHENG W T, et al.Exploring the sustainable influencing factors of audience loyalty of Chinese sports live broadcast platform based on SEM model[J]. Technological forecasting & social change, 2023(2): 189. [67] 刘俊冉. 基于4I理论的科普期刊网络直播营销策略探究[J]. 中国科技期刊研究, 2022, 33(3): 320-327. LIU J R.Strategies for live streaming marketing of popular science journals based on 4I theory[J]. Chinese journal of scientific and technical periodicals, 2022, 33(3): 320-327. [68] 樊振佳, 汪煊, 廖子萱. 扶贫助农电商平台的营销信息特征及其影响分析[J]. 农业图书情报学报, 2020, 32(3): 10-19. FAN Z J, WANG X, LIAO Z X.Characteristics and influence of marketing information in the poverty relief e-commerce platform[J]. Journal of library and information science in agriculture, 2020, 32(3): 10-19. |