贵州省媒体传播力指数监测媒体影响力数据
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单纯从发稿量来统计贵州省媒体传播情况难免有些片面，为了将贵州省媒体影响力数据指标量化呈现，本系统通过统一的指标对贵州省媒体发布稿件的效果具象化，分析整个省份媒体的传播影响力。得到具体数值后，为贵州省媒体报告统计分析、绩效考核、排行比对等工作提供数据支撑。媒体传播力取值综合考量媒体原创文章数量，媒体被转载数量，媒体最高被转载次数，转载媒体自身的权重四个维度，并对四个维度设置了对应的权重值，得出媒体影响力。 具体公式如下： 媒体传播力=0.25*(0.4*Math.Log(转载文章次数+1,Math.E) +0.45*Math.Log(原创文章数+1,Math.E) + 0.15*Math.Log(单篇文章最高次数+1,Math.E) ) +0.25*( 0.7*Math.Log(转载文章篇数+1,Math.E) + 0.3*Math.Log(单篇文章最高篇数+1,Math.E) )+0.4* Math.Log(媒体权重（自己这个媒体）+1,Math.E) * (原创文章数>0 取1否则取0)0.1 *Math.Log(发稿量+1,Math.E) 媒体传播力数值>0，媒体传播力数值越低，说明该媒体在选定时间范围内，传播力越差；反之，数值越高，说明该媒体在选定时间范围，传播力越强。
Counting the media communication status of Guizhou Province solely based on the volume of published articles is inevitably one-sided. To quantitatively present the media influence indicators of Guizhou Province, this system quantifies the effects of articles published by media outlets in Guizhou Province using unified indicators, and analyzes the communication influence of media across the entire province. After obtaining specific numerical values, it provides data support for work such as statistical analysis of media reports, performance appraisal, and ranking comparison in Guizhou Province. The calculation of Media Communication Power comprehensively considers four dimensions: the number of original articles of the media, the number of times the media's articles are reposted, the maximum number of reposts for a single article of the media, and the weight of the reposting media itself. Corresponding weight values are assigned to these four dimensions to derive the media influence. The specific formula is as follows: Media Communication Power = 0.25*(0.4*Math.Log(Number of Reposted Article Times + 1, Math.E) + 0.45*Math.Log(Number of Original Articles + 1, Math.E) + 0.15*Math.Log(Maximum Single Article Repost Times + 1, Math.E)) + 0.25*(0.7*Math.Log(Number of Reposted Articles + 1, Math.E) + 0.3*Math.Log(Maximum Single Article Repost Count + 1, Math.E)) + 0.4* Math.Log(Media Weight (Self) + 1, Math.E) * (1 if Number of Original Articles > 0 else 0) + 0.1 * Math.Log(Volume of Published Articles + 1, Math.E) When the Media Communication Power value is greater than 0, the lower the value, the poorer the communication power of the media within the selected time range; conversely, the higher the value, the stronger the communication power of the media within the selected time range.
