Evolution of Friendship Networks and Transition of Their Properties
We analyze friendship networks using attendance records of students to classes. Acquire and analysis of networks are time-consuming. Hence analysis for the network evolution according time passed is highly cost. We have proposed an automated method to acquire friendship networks for students using a system which is becoming popular recently in universities. The method gives a score which measures a degree of friendship between two students based on the probability they are friends. By using these networks, we analyze how friend pairs evolve and how common properties of social networks, scale-free, cluster and small-world, change.
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