five

北京市微博影响力指数数据

收藏
浙江省数据知识产权登记平台2024-10-23 更新2024-10-24 收录
下载链接:
https://www.zjip.org.cn/home/announce/trends/74110
下载链接
链接失效反馈
官方服务:
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北京市微博所发稿件在微博用户的传播影响力,为评估北京市微博影响力、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 become an important source of hotspot events and online public opinion. Scientific and accurate assessment of Weibo's influence is of great theoretical and practical significance for clarifying the characteristics of Weibo's information dissemination, deeply exploring its dissemination potential, and further standardizing and guiding the dissemination behaviors on the Weibo platform. However, analyzing Weibo's influence solely based on data such as forward counts and comment counts is overly one-sided. Therefore, this system uses the Weibo Influence Index as a unified data metric to evaluate the dissemination influence of posts published by Weibo accounts in Beijing among Weibo users, providing data references for assessing the influence of Beijing-based Weibo accounts and deeply exploring their dissemination capabilities. The Weibo Influence Index reflects an account's dissemination capacity and effect through its activity level and dissemination degree. Indicator System: Collected Data: Number of published posts, number of forwards, number of comments, number of likes. Evaluation Indicators: The evaluation is mainly conducted through two dimensions: Activity Level (W1) and Dissemination Degree (W2). Influence Calculation: BCI (Influence Index) = (20% × W1 + 80% × W2) × 160 W1 (Activity Level) = ln(Number of published posts + 1) W2 (Dissemination Degree) = 40% × ln(Number of forwards + 1) + 40% × ln(Number of comments + 1) + 20% × ln(Number of likes + 1) A higher BCI value indicates greater dissemination influence of the corresponding account, while a lower BCI value signifies weaker influence, 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
main_image_url
特点
该数据集包含北京市微博的影响力指数数据,通过活跃度和传播度两大维度计算影响力指数(BCI),用于评估微博传播影响力。数据规模为1001条,每日更新,适用于社交媒体传播力分析和舆情研究。
以上内容由遇见数据集搜集并总结生成
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作