| Summary: | 碩士 === 國立交通大學 === 資訊科學與工程研究所 === 95 === According to the rising of Network Science, the researches related to this field are growing up progressively. For example, the epidemic broadcasting networks or friend networks which connected by interpersonal relationship, telecommunication networks or e-mail networks which connected by information circulation, power line networks or railway networks which constructed by physical relationship. The document networks which connected by the logical associated text data such as the knowledge networks in the cyberspace by the user tagging and patent citation networks are also the research objects of network science.
Patent citation networks are generated by the relationship of citing between patent to patent, however the connecting need the Natural Language Processing (NLP), and the NLP is the major difficulty of patent network connecting, thus in this thesis we adopt a new approach, using another method to construct patent document networks, we use the connecting relationship between technical codes and patents from the Multi-Dimensional Patent Classification System which made by Japanese Patent Office (JPO) to construct the Patent Tagging Networks and using the patent tagging networks to analyze this network. The network analysis can divide into (1) The fundamental characters of the tagging networks (2) The dynamic analysis of the patent unit networks (3) The dynamic analysis of the technical code unit networks.
In the thesis, we concern about how to construct a Patent Tagging Networks and then we focus on the application of the Patent Tagging Networks, thus the dynamic network analysis.
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