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.