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基于模体的科学家合作网络基元特征分析
引用本文:缪莉莉,韩传峰,刘亮,曹吉鸣.基于模体的科学家合作网络基元特征分析[J].科学学研究,2012,30(10):1468-1475.
作者姓名:缪莉莉  韩传峰  刘亮  曹吉鸣
作者单位:1. 同济大学经济与管理学院,上海,200092
2. 同济大学电子与信息工程学院,上海,201804
基金项目:国家自然科学基金资助项目,上海市重点学科建设项目
摘    要:基于复杂网络构建科学家合作网络并分析其全局结构特征,是理解科学家间合作机制的重要手段和研究热点。实际上,辨识其局部结构可以进一步增进对合作机制的理解。基于复杂网络局部结构研究的前沿理念和方法——模体,构建并辨析若干大型科学家合作网络的基元特征:模体特性、子图浓度以及子图自下而上的组合机制。研究表明不同领域科学家合作网络的模体与反模体形式具有共性特征,网络的子图相对浓度则因不同领域科学家之间合作强度及网络发展程度差异而具有不同的分布特征。此外,科学家合作网络具有相似的自下而上构建机制。研究提供了基于模体的科学家合作网络结构辨识方法。

关 键 词:科学家合作网络  基元  模体  子图组合

Using motif to characterize building block of scientific collaboration networks
MIAO Li-li,HAN Chuan-feng,LIU Liang,CAO Ji-ming.Using motif to characterize building block of scientific collaboration networks[J].Studies in Science of Science,2012,30(10):1468-1475.
Authors:MIAO Li-li  HAN Chuan-feng  LIU Liang  CAO Ji-ming
Institution:1(1.School of Economics and Management,Tongji University,Shanghai 200092,China; 2.School of Electronics and Information Engineering,Tongji University,Shanghai 201804,China)
Abstract:Global topological analysis of scientific collaboration network has become an important method in discovering the collaboration mechanism among scientists.However,the local structure of these network is still unknow.Focusing on local structure,we generalize the notion of network motifs,defined as patterns of interconnections that recur in many different parts of a network at frequencies much higher than those found in randomized networks,and apply algorithms for systematically detecting network motifs in several large-scale scientific collaboration networks.Results show that motifs and anti-motifs of the scientific collaboration networks form a common feature.However,distributions of subgraph concentration of the networks are found different due to cooperation features and levels of development.Furthermore,the network structure can be constructed with a similar bottom-up mechanism.Local structure analysis of scientific collaboration network may help may help define the basic constructing elements and allow an easily interpretable view of the global characteristics of scientific research systems.
Keywords:scientific collaboration network  building block  motif  subgraph combination
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