广东省微信影响力指数数据

作为社交媒体平台，微信已经成为热点事件和网络舆情的重要策源地，科学准确评估微信公众号的影响力对于明晰微信信息传播特点，深入挖掘微信传播潜力，进一步规范和指导微信平台的传播行为具有较大的理论和实践意义。但单纯地通过阅读量、点赞量等数据对微信号影响力进行分析过于片面，因此系统通过微信影响力指数这个统一的数据指标来评定广东省微信号所发稿件在微信用户的传播影响力，为评估广东省微信号影响力、深入挖掘微信传播力提供数据参考。微信传播指数通过微信的传播力来反映账号的传播能力和传播效果。

指标体系:
采用数据：日均阅读量、日均点赞量、篇均阅读量、篇均点赞量、最高阅读量、最高点赞量、

采用指标：主要通过整体传播力O和篇均传播力A和峰值传播力P三大维度来进行评价

微信影响力指数指数WCI
一、整体传播力O（42%）日均阅读数（85%） 日均点赞数（15%）
二、篇均传播力A（42%）篇均阅读数（85%） 篇均点赞数（15%）
三、篇均传播力P（16%）最高阅读数（85%） 最高点赞数（15%）

微信指数计算公式
WCI=(O*42%+A*42%+P*16%)的平方*10
O=ln(日均阅读数+1)*85%+ln(日均点赞数*10+1)*15%
A=ln(篇均阅读数+1)*85%+ln(篇均点赞数*10+1)*15%
P=ln(最高阅读数+1)*85%+ln(最高点赞数*10+1)*15%

影响力数值越高，影响力越大；反之数值越低，则影响力越小

As a leading social media platform, WeChat has emerged as a major source of hot social events and online public sentiment. Conducting scientific and accurate assessments of the influence of WeChat Official Accounts holds significant theoretical and practical value for clarifying the characteristics of WeChat-based information dissemination, deeply exploring the potential of WeChat communication, and further standardizing and guiding dissemination behaviors on the WeChat platform. However, analyzing the influence of WeChat accounts solely using metrics such as reading volume and likes is overly one-sided. To address this issue, this system adopts the unified indicator of WeChat Communication Index (WCI) to evaluate the dissemination influence of articles published by WeChat accounts in Guangdong Province among WeChat users, providing data references for assessing the influence of WeChat accounts in Guangdong and further excavating their communication capabilities. The WeChat Communication Index reflects the dissemination capacity and effect of an account through the reach and spread of its content on WeChat.

### Indicator System
Collected data metrics include: Daily average reads, Daily average likes, Average reads per article, Average likes per article, Maximum single-article reads, Maximum single-article likes.
The evaluation framework covers three core dimensions:
1. Overall Dissemination Power (O)
2. Per-article Dissemination Power (A)
3. Peak Dissemination Power (P)

#### WCI Weight Allocation
1. Overall Dissemination Power O (42%): Composed of Daily average reads (85%) and Daily average likes (15%)
2. Per-article Dissemination Power A (42%): Composed of Average reads per article (85%) and Average likes per article (15%)
3. Peak Dissemination Power P (16%): Composed of Maximum single-article reads (85%) and Maximum single-article likes (15%)

#### WCI Calculation Formula
The final WCI score is calculated as follows:
WCI = (O × 42% + A × 42% + P × 16%)² × 10
Where each dimension score is computed using natural logarithms to normalize raw data:
O = ln(Daily average reads + 1) × 85% + ln(Daily average likes × 10 + 1) × 15%
A = ln(Average reads per article + 1) × 85% + ln(Average likes per article × 10 + 1) × 15%
P = ln(Maximum single-article reads + 1) × 85% + ln(Maximum single-article likes × 10 + 1) × 15%

Greater WCI values indicate stronger dissemination influence, while lower WCI values correspond to weaker influence.

搜集汇总

数据集介绍

特点

该数据集提供了广东省微信公众号的影响力指数数据，包含1001条记录，每日更新。通过微信传播指数（WCI）评估公众号的影响力，计算涉及多个关键指标如日均阅读数和点赞数等，适用于社交媒体传播力分析和研究。