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基于行为分析的微信朋友圈信息传播模型 被引量:13

Study on WeChat Moments Information Dissemination Model Based on Analysis of User Behavior
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摘要 微信的广泛应用使其影响力不断提高,微信朋友圈信息传播已成为研究热点。本文分析了微信朋友圈的信息传播机制,从影响用户转发行为的信息发布者、信息接受者以及微信朋友圈信息内容三方面凝练出5个特征因素,基于LR算法建立了微信朋友圈转发模型的预测方法,构建了微信朋友圈信息传播模型,并以调研获取的实验数据为基础进行模型验证,对深入揭示微信朋友圈信息传播机理具有重要参考价值。 The wide application of WeChat moments makes its influence improved greatly,and the information dissemination of WeChat moments becomes a research hotspot. In this paper,the information dissemination mechanism of WeChat moments was analyzed,five characteristics were condensed from the users,users relationships and the information contents,the prediction method of the sharing model was established based on the LR algorithm,and then the information dissemination model of WeChat moments was constructed,the model was validated by the experimental data that obtained from the research,which was very important to reveal the mechanism of the information dissemination.
作者 韩新明 Han Xinming(Department of Journalism,Southwest University of Science and Technology,Mianyang 621010,China)
出处 《现代情报》 CSSCI 2018年第7期62-66,共5页 Journal of Modern Information
基金 2015年度国家社会科学基金青年项目"新媒体对公众文化创造力影响研究"(项目编号:15CXW027)
关键词 微信朋友圈 行为分析 传播模型 逻辑回归 WeChat moments behavior analysis dissemination model logistic regression
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