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预测技术社会系统的行为。

Predicting the behavior of techno-social systems.

作者信息

Vespignani Alessandro

机构信息

Center for Complex Networks and Systems Research, School of Informatics and Computing, and Pervasive Technology Institute, Indiana University, Bloomington, IN 47408, USA.

出版信息

Science. 2009 Jul 24;325(5939):425-8. doi: 10.1126/science.1171990.

Abstract

We live in an increasingly interconnected world of techno-social systems, in which infrastructures composed of different technological layers are interoperating within the social component that drives their use and development. Examples are provided by the Internet, the World Wide Web, WiFi communication technologies, and transportation and mobility infrastructures. The multiscale nature and complexity of these networks are crucial features in understanding and managing the networks. The accessibility of new data and the advances in the theory and modeling of complex networks are providing an integrated framework that brings us closer to achieving true predictive power of the behavior of techno-social systems.

摘要

我们生活在一个技术社会系统日益相互关联的世界中,在这个世界里,由不同技术层面组成的基础设施在推动其使用和发展的社会组成部分内相互协作。互联网、万维网、WiFi通信技术以及交通和移动基础设施就是例证。这些网络的多尺度性质和复杂性是理解和管理这些网络的关键特征。新数据的可获取性以及复杂网络理论与建模的进展正在提供一个综合框架,使我们更接近于实现对技术社会系统行为的真正预测能力。

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