Extraction of the SPAM accounts by use of clustering of the mention-related network in Twitter

Bibliographic Information

Other Title
  • Twitterにおける言及関係によるクラスタリングを利用したスパムアカウント判定手法の検討

Search this article

Description

In recent years, users of Twitter have increased and everyone owns his account freely. However, the SPAM account which diffuses the information becoming disadvantageous for users, such as guidance to a harmful site, has also existed, and a means pretending to be a general user has become skillful. So, in this paper, the SPAM account was judged using the cluster coefficient and the number of references of each account by paying attention to the mention-related network of account in Twitter.

Journal

  • IPSJ SIG Notes

    IPSJ SIG Notes 2014 (1), 1-4, 2014-12-01

    Information Processing Society of Japan (IPSJ)

Details 詳細情報について

  • CRID
    1573950402631051392
  • NII Article ID
    110009849483
  • NII Book ID
    AA11253943
  • Text Lang
    ja
  • Data Source
    • CiNii Articles

Report a problem

Back to top