江西省微博影响力指数数据

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西省微博所发稿件在微博用户的传播影响力，为评估江西省微博影响力、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 critical breeding ground for hot events and online public opinion. Scientifically and accurately assessing the influence of Weibo carries great theoretical and practical significance for clarifying the characteristics of Weibo 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 metrics such as repost counts, comment counts, and similar data is overly one-sided. Therefore, this system adopts the Weibo Influence Index, a unified data metric, to evaluate the dissemination influence of posts published by Jiangxi provincial Weibo accounts among Weibo users, providing data references for assessing the influence of Jiangxi's Weibo accounts and deeply exploring their dissemination capabilities.

The Weibo Influence Index reflects the dissemination capacity and effect of accounts through two core dimensions: activity and dissemination.

Indicator System:
Collected Data: Number of published posts, repost count, comment count, like count.
Adopted Metrics: Evaluation is primarily conducted through two major 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 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.

搜集汇总

数据集介绍

特点

该数据集为江西省微博影响力指数数据，包含1001条记录，每日更新。数据通过微博影响力指数评估微博的传播影响力，算法基于活跃度和传播度两大维度计算影响力指数，适用于社交媒体传播效果的分析和评估。