Using Transactional Information to Predict Link Strength in Online Social Networks

  title={Using Transactional Information to Predict Link Strength in Online Social Networks},
  author={Indika Kahanda and Jennifer Neville},
Many scientific fields analyzing and modeling social networks have focused on manually-collected datasets where the friendship links are sparse (due to the costs of collection) but relatively noise-free (i.e. they indicate strong relationships). In online social networks, where the notion of “friendship” is broader than what would generally be considered in sociological studies, the friendship links are denser but the links contain noisier information (i.e., some weaker relationships). However… CONTINUE READING
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