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[[机器学习]]算法的持续进步则更进一步允许社会学家和企业发现大规模数据集中隐藏的社会交互和演化的模式。
[[机器学习]]算法的持续进步则更进一步允许社会学家和企业发现大规模数据集中隐藏的社会交互和演化的模式。
<ref>{{cite journal|first1=Jaideep |last1=Srivastava |first2=Robert |last2=Cooley |first3=Mukund |last3=Deshpande |first4=Pang-Ning |last4=Tan |journal=Proceedings of the ACM Conference on Knowledge Discovery and Data Mining |title=Web usage mining: discovery and applications of usage patterns from Web data|volume=1 |year=2000 |pages=12–23 |doi=10.1145/846183.846188|issue=2}}</ref><ref>{{cite journal|doi=10.1016/S0169-7552(98)00110-X|title=The anatomy of a large-scale hypertextual Web search engine |first1=Sergey |last1=Brin |first2=Lawrence |last2=Page |journal=Computer Networks and ISDN Systems |volume=30 |issue=1–7 |pages=107–117 |date=April 1998|citeseerx=10.1.1.115.5930 }}</ref>
<ref>{{cite journal|first1=Jaideep |last1=Srivastava |first2=Robert |last2=Cooley |first3=Mukund |last3=Deshpande |first4=Pang-Ning |last4=Tan |journal=Proceedings of the ACM Conference on Knowledge Discovery and Data Mining |title=Web usage mining: discovery and applications of usage patterns from Web data|volume=1 |year=2000 |pages=12–23 |doi=10.1145/846183.846188|issue=2}}</ref><ref>{{cite journal|doi=10.1016/S0169-7552(98)00110-X|title=The anatomy of a large-scale hypertextual Web search engine |first1=Sergey |last1=Brin |first2=Lawrence |last2=Page |journal=Computer Networks and ISDN Systems |volume=30 |issue=1–7 |pages=107–117 |date=April 1998|citeseerx=10.1.1.115.5930 }}</ref>
[[File:Tripletsnew2012.png|thumb|right|美国大选叙事网络2012<ref name="ReferenceA">{{cite journal|title=Automated analysis of the US presidential elections using Big Data and network analysis|author1=S Sudhahar|author2=GA Veltri|author3=N Cristianini|journal=Big Data & Society|volume=2|issue=1|pages=1–28|year=2015|doi=10.1177/2053951715572916|doi-access=free}}</ref>]]
[[File:Tripletsnew2012.png|thumb|right|美国大选叙事网络2012<ref name="ReferenceA">{{cite journal|title=Automated analysis of the US presidential elections using Big Data and network analysis|author1=S Sudhahar|author2=GA Veltri|author3=N Cristianini|journal=Big Data & Society|volume=2|issue=1|pages=1–28|year=2015|doi=10.1177/2053951715572916|doi-access=free}}</ref>]]