Complex Networks Structure Characteristic Analysis of Joint Research Projects Community in Taiwan

• Main Authors: Chun-Wei Chen, 陳俊瑋
• Other Authors: Chuen-Tsai Sun
• Format: Others
• Language: zh-TW
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/995me3

碩士 === 國立交通大學 === 理學院碩士在職專班應用科技學程 === 96 === At present, the essence situation of Joint Research Projects Community in Taiwan lacks a complex networks structure characteristic analysis as definite as in Scale free, Small world, Fractal, et cetera. In the Joint Research Projects Community networks, there are many subgraphs and overlapping structures inside them. The thesis research designs the multiple dimensions ego network motif of principal investigators and readies for exploring all motifs of annual real networks data sourced by the government research bulletin of Taiwan National Science Council. The thesis research in estimating, analyzing and graph-drawing for the Joint Research Projects Community networks in Taiwan, it makes use of SPSS l5.0, UCINET 6.186 and NetDraw 2.076 for Windows to compute all real data of sampling survey, after analyzing to demonstrate the complex networks structure characteristics with several analysis processes such as Cohesion, Subgroups/Cliques, Centrality Measures, Group Centrality, Roles and Positions, Power Law and Networks Graph. The conclusion reveals a special significance of specific projects management, means that the group centrality and threshold rate of each annual Joint Research Projects Community of Taiwan, should be monitored and operated it in coordination with specific projects member and drawn up new policies of the authorities, then the national innovation system resource will be effective to distribute in the future. The thesis research successfully tests and verifies all complex networks structure characteristics of Joint Research Projects Community, also draws out all subgraphs and the entirety graphs in each year.