绘制闭环集体文化决策：从书籍畅销书和音乐下载到Twitter标签和Reddit评论
Charting closed-loop collective cultural decisions: From book best sellers and music downloads to Twitter hashtags and Reddit comments
摘要：
图表被用来衡量各种文化项目的相对成功。传统音乐排行榜已经被证明遵循自组织原则，关于项目生命周期的分布，在图表上的停留时间。在这里，我们研究了这种观察是否也适用于（a）音乐流媒体图表（b）书籍畅销书排行榜和（c）社交网络活动图表，如Twitter标签和Reddit帖子收到的评论数量。我们发现，基于项目的活跃生产的图表，如评论，更容易受到外部因素的影响，特别是24小时昼夜周期。外部因素对于基于消费的图表（销售，下载）来说不太重要，这可以用一般的决策理论来解释。在这种观点中，人类的目标是优化外部世界内部表征的信息内容，这些信息内容被压缩。进一步支持信息最大化的争论产生的比较小时，每日和每周的图表，它允许衡量的重要性，决策时间相对于图表汇编期间。
英文摘要：
Charts are used to measure relative success for a large variety of cultural items. Traditional music charts have been shown to follow self-organizing principles with regard to the distribution of item lifetimes, the on-chart residence times. Here we examine if this observation holds also for (a) music streaming charts (b) book best-seller lists and (c) for social network activity charts, such as Twitter hashtags and the number of comments Reddit postings receive. We find that charts based on the active production of items, like commenting, are more likely to be influenced by external factors, in particular by the 24 hour day-night cycle. External factors are less important for consumption-based charts (sales, downloads), which can be explained by a generic theory of decision-making. In this view, humans aim to optimize the information content of the internal representation of the outside world, which is logarithmically compressed. Further support for information maximization is argued to arise from the comparison of hourly, daily and weekly charts, which allow to gauge the importance of decision times with respect to the chart compilation period.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
