CAJ | 학술논문

大数据时代的来临给网络科学带来了新的发展机遇，但如何处理海量数据也成为网络科学领域面临的严峻挑战。与大数据时代同时到来的，是近年来兴起的众包项目模式。公开竞赛和数据公开等众包形式，已成为解决数据领域问题非常流行的方法。该文概述了海量数据和众包模式在多个方面对网络科学发展的促进作用，并详细介绍了2013年首届阿里数据平台创新大赛的竞赛流程和本团队的获奖成果。在众包模式的驱动下，人们期待以大数据处理为中心的数据科学和网络科学相辅相成、共同发展。
대수거시대적래림급망락과학대래료신적발전궤우，단여하처리해량수거야성위망락과학영역면림적엄준도전。여대수거시대동시도래적，시근년래흥기적음포항목모식。공개경새화수거공개등음포형식，이성위해결수거영역문제비상류행적방법。해문개술료해량수거화음포모식재다개방면대망락과학발전적촉진작용，병상세개소료2013년수계아리수거평태창신대새적경새류정화본단대적획장성과。재음포모식적구동하，인문기대이대수거처리위중심적수거과학화망락과학상보상성、공동발전。
The era of big data has brought big opportunities to network science, yet the study of network science is also facing big challenges of processing huge amount of data. Meanwhile, a new project outsourcing model, the crowd-sourcing model, has been widely applied recently to solving data related problems. This paper presents a brief introduction to the new driving forces of network science:big data and crowd-sourcing model. We also review the 2013 Alibaba data platform innovation competition as well as our award-winning work. We expect that driven by the crowd-sourcing model, data science, which deals with big data processing techniques, shall evolve together with network science into a prosperous future.