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Framework for Measuring Dynamic Influence Index & Influence Factors using Social Data on Facebook

페이스북 소셜 데이터를 이용한 동적 영향 요인 및 영향력 측정 방법에 관한 프레임워크

  • Koh, Seoung-hyun (Dept. of Knowledge Service of Hansung University) ;
  • You, Yen-yoo (Department of Knowledge Service & Consulting of Hansung University)
  • 고승현 (한성대학교 지식서비스&컨설팅학과) ;
  • 유연우 (한성대학교 지식서비스 & 컨설팅학과)
  • Received : 2016.08.01
  • Accepted : 2016.10.20
  • Published : 2016.10.28

Abstract

The explosive growth of social networking services based on smart devices popularize these relationships and activities online in accordance with the far larger impact of this on the real life offline, the interest and importance for the online activity is increasing. In this study, factors affecting the SNS activity are defined by object, user, influence direction, influence distance and proposed a method to measure organic terms in effect between the SNS users. Influence Direction and Influence Strength (or Distance) are elaborated by using the existing influence measurement element such as structured data - the number of friends, the difference between the number of contacts - and the new influence measurement element such as unstructured data - gap between the former time and the latter time, preference and type of response behavior - that occur in social network service. In addition, the system for collecting and analysing data for measuring influence from social network service and the process model on the method for measuring influence is tested by using sample data on Facebook and explained the implementation probability.

Keywords

Social networking services(SNS);Social network analysis;social influence direction & strength;social interaction;social information processing model

Acknowledgement

Supported by : Hansung University

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