Patent research provides a lot of critical message for industry research and development. Patent citation analysis has been widely used in patent research. Most of patent analysis research tried to figure out what makes a patent valuable and how to identify those valuable patents.
Investigating specific patterns of patent citation data, some research conclude that single-stage citation analysis cannot reveal technological paths or lineages. Therefore, one should also make use of indirect citations and bibliographical coupling and co-citation. In bibliometrics, there have been broad researches on the assessment of documents. The most and in recent times have been studied are bibliographic coupling and co-citation.
Social network analysis is a theory to analyses network graph, discus the actors function in the social network and it can present the patent value by patent co-citation graph. In this study, social network analysis is a tool of analysis patent co-citation network structural and some index in social network has can identify the different kind of important thing in the network.

Chapter 1. Introduction 1
1.1 Research background 1
1.1.1 Patent analysis 1
1.1.2 Bibliometrics and Social network analysis 2
1.1.3 TFT-LCD industry 3
1.2 Research motivation 4
1.3 Research objectives 5
Chapter 2. Literature review 7
2.1 Patent Analysis 7
2.2 Citation Frequency and Patent Value 9
2.3 Co-citation analysis 10
2.3.1 Author co-citation analysis 12
2.3.2 Previous studies by using Co-citation analysis 12
2.4 Social Network Analysis 13
2.4.1 Centrality 14
2.4.2 Structural Holes 16
2.5 TFT-LCD industry research based on patent analysis 17
Chapter 3. Research methodology 19
3.1 Research framework 19
3.2 Research hypotheses 21
3.2.1 Degree centrality 21
3.2.2 Betweenness centrality 21
3.2.3 Closure 22
3.3 Data collection 23
3.3.1 Data resource 23
3.3.2 Data processing 24
3.4 Research methodology 26
Chapter 4. Data Analysis 27
4.1 Social network analysis 27
4.2 Statistic analysis 30
4.2.1 Result of Degree 30
4.2.2 Result of Betweenness 31
4.2.3 Result of Closure 32
4.3 Regression result 33
Chapter 5. Discussion and conclusion 34
5.1 Research discussion 34
5.1.1 Degree Centrality Analysis 34
5.1.2 Betweenness Centrality Analysis 35
5.1.3 Structural holes Analysis 36
5.1.4 Compare results of Co-Citation and Citation 37
5.2 Research limitation and Suggestions 37
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