Burst Phenomenon Analysis in Social Tagging System using Hawkes Process

DOI
  • EJIMA Shota
    Graduate School of Systems and Information Engineering, University of Tsukuba
  • KOSUGI Taichi
    Graduate School of Systems and Information Engineering, University of Tsukuba
  • OKA Mizuki
    Graduate School of Systems and Information Engineering, University of Tsukuba
  • MIYAKE Masanori
    Graduate School of Arts and Science, The University of Tokyo
  • IKEGAMI Takashi
    Graduate School of Arts and Science, The University of Tokyo

Bibliographic Information

Other Title
  • Hawkes Process を用いた Social Tagging System におけるバースト現象解析

Description

<p>In the activities of people on WEB such as SNS, the burst phenomenon is observed. Recently, Hawkes Process is used as a method to analyze the burst phenomenon. It is known that when the branching ratio, which is an index representing the internal dynamics of Hawkes Process, exceeds a certain threshold, the event time series transits from steady state to nonstationary state where the burst phenomena is likely to occur. In this paper, we focus on social tagging system among data obtained from SNS, and analyze how branching ratio changes timewise with service growth.</p>

Journal

Details 詳細情報について

  • CRID
    1390564238001587072
  • NII Article ID
    130007426187
  • DOI
    10.11517/pjsai.jsai2018.0_1b301
  • ISSN
    27587347
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

Report a problem

Back to top