Identifying and modeling the structural discontinuities of human interactions.
Identifying and modeling the structural discontinuities of human interactions.
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DOI：
10.1038/srep46677
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发表时间：
2017-04-26
影响因子：
4.6
通讯作者：
Ratti C
中科院分区：
文献类型：
--
作者：
Grauwin S;Szell M;Sobolevsky S;Hövel P;Simini F;Vanhoof M;Smoreda Z;Barabási AL;Ratti C
社会的等级空间组织这一概念是人文地理学中一些重要理论的核心，这些理论对我们理解社会组织产生了重大影响。同样，近期大规模的人类移动和通信数据的出现提供了新的定量见解，暗示人类互动在相邻区域内受到强烈的地理限制，并延伸到国家内部的地方层面。然而，人类互动模型在很大程度上忽略了这一影响。在此，我们分析了几个全国性的电话通话网络——包括移动电话和固定电话——并且在两种情况下都发现了由边界导致的通信量的系统性减少，我们将其确定为现有最先进模型中缺失的变量。利用这一实证证据，我们提出了一个替代的建模框架，该框架自然地体现了边界的阻尼效应。我们表明，这一新概念极大地提高了广泛使用的互动模型的预测能力。这增强了我们理解、建模和预测社会活动以及规划多尺度基础设施发展的能力。
The idea of a hierarchical spatial organization of society lies at the core of seminal theories in human geography that have strongly influenced our understanding of social organization. Along the same line, the recent availability of large-scale human mobility and communication data has offered novel quantitative insights hinting at a strong geographical confinement of human interactions within neighboring regions, extending to local levels within countries. However, models of human interaction largely ignore this effect. Here, we analyze several country-wide networks of telephone calls - both, mobile and landline - and in either case uncover a systematic decrease of communication induced by borders which we identify as the missing variable in state-of-the-art models. Using this empirical evidence, we propose an alternative modeling framework that naturally stylizes the damping effect of borders. We show that this new notion substantially improves the predictive power of widely used interaction models. This increases our ability to understand, model and predict social activities and to plan the development of infrastructures across multiple scales.