Evaluation on the effect of retweet in Twitter ranking

Jae Young Chang, Han Joon Kim

Research output: Contribution to journalArticlepeer-review


Recently, as social network services such as Twitter and FaceBook are becoming more popular, a large number of researches have been carried out with various approaches. However, since social network services have been launched recently, its related search methods are still at an early stage of practical service. Thus, most of current web search engines use a simple method for searching posting articles in the order of their upload time. In this paper, we present a novel way of searching informative articles in Twitter The proposed method uses the frequency of retweets as major factors of ranking function in order to evaluate the quality of posting articles.

Original languageEnglish
Pages (from-to)8053-8067
Number of pages15
Issue number11
StatePublished - Nov 2013


  • Posting articles
  • Ranking
  • Retweet
  • Search
  • Social network service
  • Twitter


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