本研究包含社會網絡及應用之概念，藉由收集和過濾1400多個數據，建構出一學術知識網絡。在此建構台灣的學術網絡是首要也是最為重要的產出。不僅希望找到學者的網絡關係，同時能將每位行動者的關係具體化。再者探索學者的學術連結強度、網絡位置以及互惠連結。最後，其目的在於調查連結強度、網絡位置和互惠連結是否會對學者的學術研究績效有影響。結果顯示連結強度和網絡位置，如集中性是能提升績效，並且此學術知識網絡具有88%的互惠性。

This research includes the concept of social network theory and applications and constructs an academic knowledge network by collecting and filtering over 1,400 data. Construction of academic knowledge network in Taiwan is the first and most important output in this research. We hope not only to find the relation network of scholars but also shape the relation of each actor. Second, this research explores scholars’ academic ties strength, network positions and reciprocity ties. Finally, we aim to examine if this ties strength, network positions and reciprocity ties have influence on scholars’ academic research performance. Our results show ties strength and network positions such as centrality do improve performance, and there is also a 88% high percentage of reciprocity ties in this academic knowledge network.

Chapter 1 Introduction 1
1.1 Motivation 1
1.2 Research Purposes 3
1.3 Research Question 3
1.4 Research Framework 4
Chapter 2 Literatur 5
2.1 Social Network Theory 5
2.2 Social Network Analysis 6
2.3 Strength of ties 8
2.3.1 Strong ties vs Weak Ties 8
2.4 Network Position 9
2.4.1 Centrality 9
2.4.2 Centrality Centrality 10
2.4.3 Closeness Centrality 10
2.5 Reciprocity 11
2.6 Knowledge Network 11
2.7 Performance 11
Chapter 3 Hypothesis 12
Chapter 4 Methods 15
4.1 Sample: Snowball network 15
4.2 Data 15
4.3 Social Network Matrix 19
4.4 Method 19
4.5 Variables and Measurement 21
Chapter 5 Results 23
5.1 Academic Knowledge Network 23
5.2 Strong Ties 24
5.3 Weak Tie 25
5.4 Degree Centrality 26
5.5 Betweenness Centrality 27
5.6 Closeness Centrality 28
5.7 Reciprocity Ties 29
5.8 Descriptive statistics Analysis 30
5.9 Pearson Correlation Analysis 30
5.10 Regression Analysis 31
Chapter 6 Conclusions and Suggestions 33
6.1 Conclusions 33
6.1.1 Implication of academic knowledge network 33
6.1.2 Make a good use of strong ties and weak ties 33
6.1.3 The important role of centrality positions 34
6.1.4 High percentage of reciprocity 35
6.2 Suggestions35
6.2.1 Academic knowledge applications 35
6.2.2 Business knowledge applications 36
6.3 Limitations 36
References 38

List of Tables
Table 4-1 Times cited in 5 years (2010-2014) 17
Table 4-2 Top five main actors 18
Table 5.1 Descriptive statistics 30
Table 5.2 Correlation 31
Table 5.3 Summary of Regression Analysis predicting numbers of I paper 32
Table 5.4 Summary of Regression Analysis predicting Total citation number 32

List of Figures
Figure 1.1 The Research Framework 4
Figure 2.1 The lineage of social network analysis 7
Figure 4.1 Formulas of centrality measure 20
Figure 5.1 Whole Academic Knowledge Network 23
Figure 5.2 Network of Strong Ties 24
Figure 5.3 Network of Weak Ties 25
Figure 5.4 Network of Degree Centrality 26
Figure 5.5 Network of Betweenness Centrality 27
Figure 5.6 Network of Closeness Centrality 28
Figure 5.7 Network of Reciprocity Ties 29

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