| Summary: | 碩士 === 國立政治大學 === 資訊科學學系 === 103 === In recent years, the explosion of data is alarming. How to efficiently process
this data to get useful information from it becomes an important issue. At the
same time, theory for analyzing large social networks has been developed. It
allows us to explore some special individuals, for example, the maximum
influential individual in a social network.
In this thesis, we define multiple relationships of Taiwan politicians to
construct various social networks. In order to get special individuals in each
social network, we use three of the popular indicators to calculate the centrality
of the networks. We also implement a system that can show the social networks
as well as the query and analysis results from these networks.
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