| Summary: | 碩士 === 國立臺灣大學 === 資訊管理學研究所 === 99 === With advance of Web 2.0 technology, many social networks such as Facebook, Twitter, and Digg, have been highly developed in recent years. Understanding the growth patterns and the characteristics of social networks helps us to promote the technology of running social networks, increase the networks’ value, and formulate marketing and pricing strategies. Therefore, in this thesis, we first utilize the concept of internal and external attractions to propose a population growth model. Next, we analyze the properties of the proposed model and show that the model has the characteristics of sale-free networks. Finally, we collect the data from two real world social networks to evaluate the proposed model. The experimental results show that these two social networks can be well fitted by the proposed model. Furthermore, we address the management implications of the proposed model and discuss how to promote the value of social networks.
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