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Inferring who-is-who in the Twitter social network
2012
Computer communication review
In this paper, we design and evaluate a novel who-is-who service for inferring attributes that characterize individual Twitter users. Our methodology exploits the Lists feature, which allows a user to group other users who tend to tweet on a topic that is of interest to her, and follow their collective tweets. Our key insight is that the List meta-data (names and descriptions) provides valuable semantic cues about who the users included in the Lists are, including their topics of expertise and
doi:10.1145/2377677.2377782
fatcat:cbvngvdhvncrdns2q5hrmypxoe