广西壮族自治区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西壮族自治区微信号所发稿件在微信用户的传播影响力，为评估广西壮族自治区微信号影响力、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 social media platform, WeChat has become an important source of hot events and online public opinion. Scientific and accurate assessment of the influence of WeChat official accounts is of great theoretical and practical significance for clarifying the information dissemination characteristics of WeChat, deeply exploring its dissemination potential, and further standardizing and guiding the dissemination behaviors on the WeChat platform. However, analyzing the influence of WeChat official accounts solely through data such as reading volume and likes is too one-sided. Therefore, this system uses the unified data indicator of WeChat Communication Index (WCI) to evaluate the dissemination influence of articles published by official accounts in Guangxi Zhuang Autonomous Region among WeChat users, providing data reference for assessing the influence of official accounts in Guangxi Zhuang Autonomous Region and deeply exploring their dissemination capabilities. The WeChat Communication Index reflects the dissemination capacity and effect of an account through its dissemination power.

Indicator System:
Collected data: Average daily reading volume, average daily likes, average reading volume per article, average likes per article, maximum reading volume, maximum likes.
Evaluation indicators: The evaluation is mainly conducted from three dimensions: overall dissemination power (O), average dissemination power per article (A), and peak dissemination power (P).

WeChat Communication Index (WCI)
1. Overall Dissemination Power O (42%): Average daily reading volume (85%), average daily likes (15%)
2. Average Dissemination Power per Article A (42%): Average reading volume per article (85%), average likes per article (15%)
3. Peak Dissemination Power P (16%): Maximum reading volume (85%), maximum likes (15%)

WCI Calculation Formula:
WCI = [(O * 42% + A * 42% + P * 16%)]^2 * 10
O = ln(Average daily reading volume + 1) * 85% + ln(Average daily likes * 10 + 1) * 15%
A = ln(Average reading volume per article + 1) * 85% + ln(Average likes per article * 10 + 1) * 15%
P = ln(Maximum reading volume + 1) * 85% + ln(Maximum likes * 10 + 1) * 15%

Higher influence values correspond to greater influence; conversely, lower values indicate weaker influence.