关键词: 科学家合作网络, 基元, 模体, 子图组合, Scientific collaboration network, Building block, Motif, Subgraph combination

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.