Abstract: The paper uses patent citation database (USPTO 1976-2006), studies cluster technology structure which in case of the Boston biotechnology industry cluster. Using social network analysis method, paper studies cluster structure based on indicators which are density, centrality, betweenness and n-clique. Study found that universities, hospitals and enterprises are clustered mainly technical sources; enterprise with strong technical plays an intermediary role; there are much frequent exchanges between the sub-clusters, formats some cliques. Medicine hospital has the most patents in cliques, medical equipment enterprises play a key role in the technical transformation.

摘要： 论文使用USPTO1976年至2006年的专利引文数据库，以波士顿生物技术产业集群为背景研究了集群技术结构。采用社会网络分析方法，以密度、中心度、中介度、派系等指标研究集群技术结构。研究发现大学、医院和企业皆为集群主要技术源；企业有很强的技术中介作用；次级群体之间存在着较频繁的技术交流并形成小团体，小团体中医院拥有最多的专利，医疗设备企业则起着关键的技术转化作用。

关键词: 生物技术产业集群, 技术结构, 社会网络分析法, 专利引文, biotechnology industry cluster, technology structure, SNA, patent citation