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山西省微博影响力指数数据

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浙江省数据知识产权登记平台2024-10-23 更新2024-10-24 收录
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作为社交媒体平台,微博已经成为热点事件和网络舆情的重要策源地,科学准确评估微博的影响力对于明晰微博信息传播特点,深入挖掘微博传播潜力,进一步规范和指导微博平台的传播行为具有较大的理论和实践意义。但单纯地通过转发量、评论量等数据对微博影响力进行分析过于片面,因此系统通过微博影响力指数这个统一的数据指标来评定山西省微博所发稿件在微博用户的传播影响力,为评估山西省微博影响力、深入挖掘微博传播力提供数据参考。微博影响力指数通过微博的活跃度和传播度来反映账号的传播能力和传播效果 指标体系: 采用数据:发博数、转发数、评论数、点赞数。 采用指标:主要通过活跃度W1和传播度W2两大维度来进行评价。 影响力计算: BCI(影响力指数)=(20% × W1 +80% × W2 )× 160 W1(活跃度) = ln(发博数 +1) W2(传播度)=40% × ln(转发数 +1)+ 40% × ln( 评论数+1)+ 20% × ln(点赞 +1) BCI数据越高,说明该账号传播影响力越大,反之则影响力越小

As a social media platform, Weibo has emerged as a crucial source of hot events and online public opinion. Scientifically and accurately evaluating the influence of Weibo accounts holds significant theoretical and practical significance for clarifying the characteristics of Weibo information dissemination, deeply exploring its communication potential, and further standardizing and guiding the dissemination behaviors on the Weibo platform. However, analyzing the influence of Weibo accounts solely via metrics such as repost counts, comment counts, and like counts is overly one-sided. Therefore, this system adopts the unified Weibo Influence Index as a standardized metric to assess the dissemination influence of posts published by official Weibo accounts of Shanxi Province among Weibo users, providing data reference for evaluating the influence of Shanxi Province's Weibo accounts and deeply excavating their communication capabilities. The Weibo Influence Index reflects the communication capacity and dissemination effect of an account based on its activity level and dissemination extent. Indicator System: Collected Data: Number of published posts, repost count, comment count, like count. Evaluation Indicators: The evaluation is primarily conducted from two dimensions: Activity (W1) and Dissemination Extent (W2). Influence Calculation: BCI (Weibo Influence Index) = (20% × W1 + 80% × W2) × 160 W1 (Activity Level) = ln(Number of Published Posts + 1) W2 (Dissemination Extent) = 40% × ln(Repost Count + 1) + 40% × ln(Comment Count + 1) + 20% × ln(Like Count + 1) The higher the BCI score, the greater the dissemination influence of the corresponding Weibo account, and vice versa.
提供机构:
杭州凡闻科技有限公司
创建时间:
2024-09-26
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特点
该数据集包含山西省微博影响力指数数据,共计1001条,每日更新。数据集通过发博数、转发数、评论数、点赞数等指标计算影响力指数(BCI),用于评估山西省微博的传播影响力,为规范和指导微博平台的传播行为提供数据参考。
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