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The Impact of Open Platform to Social Network Adoption: The Case of “Facebook vs. Myspace”

첫 페이지 보기
  • 발행기관
    한국경영정보학회 바로가기
  • 간행물
    한국경영정보학회 정기 학술대회 바로가기
  • 통권
    2010년 춘계학술대회 (2010.06)바로가기
  • 페이지
    pp.497-502
  • 저자
    Gwangjae Jung, Byungtae Lee
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A120035

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원문정보

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 ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    한국경영정보학회 [The Korea Society of Management information Systems]
  • 설립연도
    1989
  • 분야
    사회과학>경영학
  • 소개
    이 학회는 경영정보학의 연구 및 교류를 촉진하고 학문의 발전과 응용에 공헌함을 목적으로 합니다.

간행물

  • 간행물명
    한국경영정보학회 정기 학술대회 [KMIS Conference]
  • 간기
    반년간
  • 수록기간
    1990~2026
  • 십진분류
    KDC 325 DDC 658

이 권호 내 다른 논문 / 한국경영정보학회 정기 학술대회 2010년 춘계학술대회

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