通过公共展示的集体关注

A. Ferscha, K. Zia, Benedikt Gollan
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引用次数: 12

摘要

从公共展示的个人观看经验中产生的集体注意力的动态似乎是理解公众舆论自我适应机制的最艰巨的挑战之一。在本文中,我们通过观察个人的注意力来接近集体注意力的模型,这些注意力来自他们表达兴趣的努力。在认知科学中已建立的个体注意模型SEEV的基础上,利用公共展示前自发路人的注意估计来描述社会尺度上的集体注意模型。在2048节点共享内存多处理器(SGI Altix Ultra Violet 1000, Repast HPC)上,通过大规模模拟实验验证了该模型,该实验反映了整个城市的人口统计和形态,以及人口密度、流动性模式和个人决策。模拟集体关注如何从局部关注点转向城市规模的意见建立和共识发现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Collective Attention through Public Displays
The dynamics of collective attention emerging out of individual viewing experiences from public displays appear to be among the most demanding challenges in understanding the mechanisms of self-adaptation of public opinion. In this paper we approach a model of collective attention from observations of the attention of individuals estimated from their efforts expressing interest. Extending on SEEV, an established individual attention model from cognitive science, attention estimates from spontaneous passer-bys in front of public displays are used to describe a collective attention model at the scale of society. The model is validated via a large scale simulation experiment reflecting the demographics and the morphology of a whole city, together with population densities, mobility patterns and individual decision making on a 2048 node shared memory multiprocessor (SGI Altix Ultra Violet 1000, Repast HPC). Simulations how collective attention emerges from local spots of attention towards city scale opinion building and consensus finding.
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