Earticle

초록

영어

A social network service is one of the most prospering social media in the Web 2.0 era. In May 2007, Facebook made an announcement of “Open API” policy, which allows a third-party to create applications in Facebook. After “Open API,” users of Facebook can utilize various interactions other than just messaging. This led to radical increase in user growth of Facebook and threatened Myspace, which was the top SNS at that time. This innovative move gathered an interest of how “Open API” affects interactions in social networks. The main objective of our research is to analyze the relationship between the growth of social network adoption and network topology. First of all, we adopt the concept of Metcalfe’s and Reed’s law to model the growth pattern of social network under duopoly competition of two SNSs. Then we apply the growth functions to the empirical analysis. We collect web traffic data of Facebook and Myspace from Alexa and test the structural change after the adoption of “Open API” policy. The result of the analytical model shows that social network adoption follows a quadratic growth under Metcalfe’s law and an exponential growth under Reed’s law. The result also shows the conditions for a SNS to take all new adopters in the market. If the SNS follows Reed’s law, it can
absorb all new adopters even if that particular SNS is a newcomer in the market. The empirical result confirms that there exists a significant difference in the growth pattern between, before and after “Open API.” This implies that “Open API” transformed Facebook one-to-one communication network into a group forming network. Eventually, this transition increases potential connectivity
in social network and leads to exponential growth of social network adoption.

목차

Abstract
 Introduction
 Analytical Model
  Setup
  Growth of Adoption in Social Network
  Numerical Analysis
 Empirical Analysis of Structural Change
  Data
  Regression Model
  Results
 CONCLUSION
 References

저자

• Gwangjae Jung [ Management Engineering Department KAIST Business School ]
• Byungtae Lee [ Management Engineering Department KAIST Business School ]

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