• Title/Summary/Keyword: graph analytics

Search Result 2, Processing Time 0.03 seconds

Understanding Temporal Change of Centrality by Analyzing Social Network among Korean actors (한국 영화배우 소셜 네트워크 데이터 분석을 통한 중심성 변화 연구)

  • Choi, Joonyoung;Lee, O-Jun;Jung, Jason J.;Yong, Hwan-Sung
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • 2019.05a
    • /
    • pp.37-40
    • /
    • 2019
  • On this paper, we show the way of forming graph data structure via setting an edge between Korean actors if they appeared in the same movie. From this graph, we calculate the 'centralities' (which declared on this paper) for each actor, then examine distribution by ranking the actors of the centralities and analyze the change of the actor who is/was center on the graph by years. Finally, we suggest the way that sets the numerically Range limits on social group.

  • PDF

Predicting Co-Authorship based on Link analytics and learning (링크 분석 및 학습을 통한 공동연구성과 기반 공저자 관계 예측)

  • Jeon, HyeonJu;Kim, YunHu;Jung, Jason J.;Kim, Kono
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • 2019.05a
    • /
    • pp.83-86
    • /
    • 2019
  • This study proposes a methodology for predicting co-authorship of contributors to a highly anticipated paper through link analysis and learning, taking into account the result of collaborative research. Previous studies predict the co-authorship with high accuracy, but this shows limitations in that the quality of the predicted relationship is not considered. Therefore, to solve the above problem, we propose three steps to predict the co-authorship that will help with the expected performance: (1) Construct a heterogeneous graph to measure results of collaborative research. (2) Analyze and learn links based on results of collaborative research. (3) Predict links that are anticipated to have high expectation. It is expected to be useful for increasing confidence in the predicted co-authorship.

  • PDF