中文摘要：

当前复杂网络研究已经成为学术界关注的焦点，复杂网络理论已经在不同领域得到了较大的发展。本文研究融合复杂网络理论在科技监测过程中的多个应用点。首先，研究了一种利用实体网络属性进行作者重名分析的方法。其次，通过分析主题词共现网络快照序列中节点网络动态特征，研究了融合复杂网络理论的用于科技领域监测的学科演化分析方法。最后，运用传统的文献计量模型，通过主题词共现网络中实体的网络属性分析，研究了基于度、中介性等个体属性，评估作者的学术影响力及领域权威性的方法。

英文摘要：

Recently there has been considerable interest in the study of complex networks, and the theories of complex networks have been developed in many fields. In this paper, we study how to apply complex network theory to science and technology monitoring. Firstly, we study an entity resolution method by utilizing entity＇s network attribute. Secondly, we study a method of detecting and tracking the evolution of a specialty that can be used in the scientific and technological monitoring. Finally, using traditional bibliometrics models amdbased on the network attribute analysis to keywords co-occurrence network, we study how to assess the author＇s academic influence by individual＇s degree and between ness.