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==历史==
==历史==
霍兰 Holland和莱因哈特 Leinhardt率先提出了'''网络三合会普查 a triad census of networks'''的概念，开创了网络模体研究的先河。<ref>Holland, P. W., & Leinhardt, S. (1974). The statistical analysis of local structure in social networks. Working Paper No. 44, National Bureau of Economic Research.</ref><ref>Hollandi, P., & Leinhardt, S. (1975). The Statistical Analysis of Local. Structure in Social Networks. Sociological Methodology, David Heise, ed. San Francisco: Josey-Bass.</ref><ref> Holland, P. W., & Leinhardt, S. (1976). Local structure in social networks. Sociological methodology, 7, 1-45.</ref><ref>Holland, P. W., & Leinhardt, S. (1977). A method for detecting structure in sociometric data. In Social Networks (pp. 411-432). Academic Press.</ref> 他们介绍了枚举各种子图配置的方法，并测试子图计数是否与随机网络中的期望值存在统计学上的差异。
霍兰 Holland和莱因哈特 Leinhardt率先提出了'''网络三连体统计 a triad census of networks'''的概念，开创了网络模体研究的先河。<ref>Holland, P. W., & Leinhardt, S. (1974). The statistical analysis of local structure in social networks. Working Paper No. 44, National Bureau of Economic Research.</ref><ref>Hollandi, P., & Leinhardt, S. (1975). The Statistical Analysis of Local. Structure in Social Networks. Sociological Methodology, David Heise, ed. San Francisco: Josey-Bass.</ref><ref> Holland, P. W., & Leinhardt, S. (1976). Local structure in social networks. Sociological methodology, 7, 1-45.</ref><ref>Holland, P. W., & Leinhardt, S. (1977). A method for detecting structure in sociometric data. In Social Networks (pp. 411-432). Academic Press.</ref> 他们介绍了枚举各种子图配置的方法，并测试子图计数是否与随机网络中的期望值存在统计学上的差异。
最近，还发布了用于检测网络基序的acc基序工具。<ref>{{Cite web | url=http://www.ft.unicamp.br/docentes/meira/accmotifs/ |title = Acc-Motif: Accelerated Motif Detection}}</ref>
最近，还发布了用于检测网络基序的acc基序工具。<ref>{{Cite web | url=http://www.ft.unicamp.br/docentes/meira/accmotifs/ |title = Acc-Motif: Accelerated Motif Detection}}</ref>
==模体发现算法==
==模体发现算法==