A Stochastic Simulation of the Decision to Retweet

  title={A Stochastic Simulation of the Decision to Retweet},
  author={Ronald Hochreiter and Christoph Waldhauser},
Twitter is a popular microblogging platform that sees a vast increase in use as a marketing communication tool. For any marketing campaign to be successful, word-of-mouth is an essential component. The equivalent of word-of-mouth propagation in Twitter is the retweeting of a message. So far, little focus has been put on how Twitter users arrive at deciding which tweets to retweet and which ones to ignore. This contribution offers a stochastic decision function that models a nodes decision… 

Online Retweet Recommendation with Item Count Limits

  • Xiaoqi ZhaoKeishi Tajima
  • Computer Science
    2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT)
  • 2014
This paper developed a system that reads a sequence of tweets from the friends one by one, and select a given number of tweets in an online (or near-online) fashion, and proposes four algorithms for it that give priority to the timeliness, selection quality, and selection quality.

Retweet Recommendation with Item Count Limits

This paper developed a system that reads a sequence of tweets from the friends one by one, and select a given number of tweets in an online (or near-online) fashion, and proposes four algorithms for it that give priority to the timeliness, selection quality, and the selection quality.

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