The Study on Application of Community Detection Technique in Social Networks

• Main Author: 李啟峰
• Other Authors: 張明桑
• Format: Others
• Language: zh-TW
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/s8d64f

碩士 === 中央警察大學 === 資訊管理研究所 === 100 === Under the evolution of the interaction of human life and the changing world, model from the early live alone among people gradually evolved into a small tribe in large towns, even across the international are becoming large and complicated. However, a variety of social groups are established by human beings through the different types of correlation, the number of its members may be minimal or may have been increasing. It may result in a group by its correlation, like a social network or interpersonal network. Everyone on behalf of the network connection between nodes, and node means that the existence of a relationship. You can also create a more diverse network patterns by using different types of correlation, such as crime networks, terrorist organizations. This thesis is to study how to do the analysis and discussion on these complex networks. This thesis is to search out the relevant comparison group in the social network which proposes a use based on social network analysis-based clustering methods. To expect that the information is incomplete or unknown circumstances, we can also provide a good analysis of the results. In addition to this, for the initial clustering results, we try to observe every member of the node can continue to optimize the fine-tuning, making the overall results better.