微信榜单数据

微信榜单数据，通过监测微信平台上自有媒体账号、竞品账号、投放媒体账号，实时获取账号多维数据进行分析，根据不同场景的需要，自动生成传播分析报告。
为企业融媒体变现提供专有渠道；为品牌主提供产品销售渠道；为媒体主提供选品渠道；为品牌主选KOL提供数据支撑；为广电机构提供收视/收听数据。基于中科网联自研的融媒体大数据评价体系，对微信平台的媒体账号进行传播力监测，对单篇文章的传播情况进行全程监控，详细列举作品在微信平台的传播情况，实时查看互动数与传播的差距，综合测量账号运营权重，提供不同类型的数据指标对比，帮助内容发布者直观感知不足，优化内容，提升传播影响力。

微信平台指数计算规则：
1、N1=Ln（原始数据+1)，Nx=Ln（原始数据+1)，x=N1*权重+…Nx*权重
2、微信权重计算：
X=Ln(发文数+1)*0.3+Ln(阅读数+1)*0.4+Ln(点赞数+1)*0.1+Ln(在看数+1)*0.1+Ln(最高阅读数+1)*0.1
3、新媒体指数=X*X*10 取整
备注：将各指标项原始数据的值加1之后，求取以e为底的对数，再将得到的对数乘以相应的权重，各个对数乘以权重之后再加和得到X, X*X*10后取整，即为最终指数。

WeChat Ranking Dataset: By monitoring self-owned media accounts, competing accounts, and advertising media accounts on the WeChat platform, this dataset acquires real-time multi-dimensional data of the accounts for analysis, and automatically generates communication analysis reports tailored to the requirements of different scenarios.

It provides exclusive channels for corporate integrated media monetization, product sales channels for brand owners, product selection channels for media owners, data support for brand owners when selecting KOLs (Key Opinion Leaders), and ratings and listening data for radio and television institutions. Based on the self-developed integrated media big data evaluation system of Zhongke Wanglian, this dataset monitors the communication influence of media accounts on the WeChat platform, tracks the spread of individual articles throughout their entire process, provides a detailed breakdown of each work's spread performance on the WeChat platform, enables real-time checking of the gap between interaction volume and communication reach, comprehensively evaluates the operational weight of accounts, offers comparisons across different types of data indicators, and helps content publishers intuitively identify their shortcomings, optimize their content, and improve their communication influence.

WeChat Platform Index Calculation Rules:
1. N1 = Ln(raw data + 1), Nx = Ln(raw data + 1), x = N1 * weight + … + Nx * weight
2. WeChat Weight Calculation:
X = Ln(post count + 1) * 0.3 + Ln(reading count + 1) * 0.4 + Ln(like count + 1) * 0.1 + Ln(in-watch count + 1) * 0.1 + Ln(max reading count + 1) * 0.1
3. New Media Index = Round(X * X * 10)

Note: Add 1 to the original value of each indicator, take the natural logarithm with e as the base, multiply each obtained logarithm by its corresponding weight, sum all the weighted logarithms to get X, then calculate X multiplied by X multiplied by 10 and round the result to obtain the final index.

搜集汇总

数据集介绍

特点

微信榜单数据集包含1000条记录，每月更新，涵盖微信账号的多维数据如发文数、阅读数等，主要用于企业、品牌主和媒体主的传播分析和决策支持。