江苏省微博影响力指数数据
收藏浙江省数据知识产权登记平台2024-10-25 更新2024-10-26 收录
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资源简介:
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江苏省微博所发稿件在微博用户的传播影响力,为评估江苏省微博影响力、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,反之则越小
As a social media platform, Weibo has become an important source of hotspot events and online public sentiment. Scientific and accurate assessment of Weibo's influence is of great theoretical and practical significance for clarifying the characteristics of Weibo information dissemination, deeply exploring the potential of Weibo dissemination, and further standardizing and guiding the dissemination behaviors on the Weibo platform.
However, analyzing Weibo's influence solely through data such as forward counts, comment counts and other similar metrics is overly one-sided. Therefore, this system uses the unified Weibo Influence Index as the data metric to evaluate the dissemination influence of posts published by official Weibo accounts of Jiangsu Province among Weibo users, providing data references for assessing the influence of Jiangsu's official Weibo accounts and deeply exploring their dissemination capabilities.
The Weibo Influence Index reflects the dissemination capability and effect of an account through two dimensions: activity level and dissemination level.
Indicator System:
Collected data: number of posts published, forward count, comment count, like count.
Adopted indicators: The evaluation is mainly conducted through two major dimensions: activity level (W1) and dissemination level (W2).
Influence Calculation:
BCI (Weibo Influence Index) = (20% × W1 + 80% × W2) × 160
W1 (Activity Level) = ln(number of posts published + 1)
W2 (Dissemination Level) = 40% × ln(forward count + 1) + 40% × ln(comment count + 1) + 20% × ln(like count + 1)
The higher the BCI value, the greater the dissemination influence of the corresponding 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

特点
江苏省微博影响力指数数据集包含1001条记录,每日更新,用于评估江苏省微博账号的传播影响力。通过活跃度和传播度两大维度计算影响力指数(BCI),为规范和指导微博传播行为提供数据参考。
以上内容由遇见数据集搜集并总结生成



