Data Analysis of Facebook Insights

페이스북 인사이트 데이터 분석

Cha, Young Jun;Lee, Hak Jun;Jung, Yong Gyu

  • Received : 2015.05.13
  • Accepted : 2015.08.20
  • Published : 2016.02.29


As information technologies are rapidly developed recently, social networking services through a variety of mobile devices and smart screen is becoming popular. SNS is a social networking based services which is online forms from existed offline. SNS can also be used differently which is confused with the online community. A modelling algorithm is a variety of techniques, which are assocoation, clustering, neural networks, and decision trees, etc. By utilizing this technique, it is necessary to study to effectively using the large number of materials. In this paper, we evaluate in particular the performance of the algorithm based on the results of the clustering using Facebook Insights data for the EM algorithm to be evaluated as a good performance in clustering. Through this analysis it was based on the results of the application of the experimental data of the change and the South Australian state library according to the performance of the EM algorithm.


Social media;Social networks;Associations;EM


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