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首页> 外文期刊>IEEE transactions on industrial informatics >Modeling Human Activity With Seasonality Bursty Dynamics
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Modeling Human Activity With Seasonality Bursty Dynamics

机译：用季节性爆发动态建模人类活动

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摘要

The public's purchase incentive increases dramatically during the holiday season and subsequently returns to normal levels. This seasonality is common in various scenarios and highlights the following questions: how does the public's purchase incentive fluctuate over the course of a year? Which factors are conducive to this seasonal behavior and how can they be modeled? In this paper, we propose a model that explicitly integrates temporal point process theory with the construction of a networked community, to describe the dynamics of collective action propagation with seasonal fluctuation. Furthermore, a database is constructed of sales records for 21 video game consoles and 13 237 video games in France, Germany, Japan, the U.K., the USA, and worldwide from 1989 to 2018. Experimental results suggest that peak desire always appears in the holiday season about one week before Christmas and is about four times higher than consumption desire in a normal period in all areas.
机译：在假日季节，公众购买激励剧烈增加，随后恢复正常水平。这种季节性在各种场景中很常见，并突出以下问题：公众在一年内的购买激励波动如何？哪些因素有利于这种季节性行为，以及它们如何建模？在本文中，我们提出了一种模型，该模型明确地将时间点过程理论与建设联网社区，以描述与季节波动的集体动作传播的动态。此外，1989年至2018年法国，德国，日本，英国，美国的21个视频游戏控制台的销售记录和法国的视频游戏的销售记录是一个数据库。实验结果表明峰值欲望总是在假期出现在圣诞节前一周约一周的季节，在所有领域的正常时期，大约比消费欲望高出四倍。

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