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吉林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吉林省微博所发稿件在微博用户的传播影响力,为评估吉林省微博影响力、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 leading social media platform, Weibo has emerged as a critical source of hot social events and online public opinions. Scientifically and accurately assessing the influence of Weibo holds significant theoretical and practical value for clarifying the characteristics of information dissemination on Weibo, deeply exploring its dissemination potential, and further standardizing and guiding the dissemination behaviors on the Weibo platform. However, analyzing Weibo's influence solely using metrics such as repost counts and comment counts is overly one-sided. To address this limitation, this system adopts the unified Weibo Influence Index as a standardized metric to evaluate the dissemination influence of posts released by official Weibo accounts of Jilin Province among general Weibo users, providing reliable data references for evaluating the influence of Jilin Province's Weibo accounts and deeply mining their dissemination capabilities. The Weibo Influence Index reflects the dissemination capability and effect of an account through two core dimensions: activity and dissemination. Indicator System: Collected data: Number of published posts, repost counts, comment counts, and like counts. Evaluation dimensions: The evaluation is mainly conducted from two core dimensions: Activity W1 and Dissemination W2. Influence Calculation: BCI (Weibo Influence Index) = (20% × W1 + 80% × W2) × 160 W1 (Activity) = ln(Number of Published Posts + 1) W2 (Dissemination) = 40% × ln(Repost Counts + 1) + 40% × ln(Comment Counts + 1) + 20% × ln(Like Counts + 1) The higher the BCI value, 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
搜集汇总
数据集介绍
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特点
该数据集包含吉林省微博的影响力指数数据,每日更新,共1001条记录,用于评估微博的传播影响力。数据通过活跃度和传播度两大维度计算影响力指数,为规范和指导微博传播行为提供参考。
以上内容由遇见数据集搜集并总结生成
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