Emerging topic detection on Twitter based on temporal and social terms evaluation

By Mario Cataldi, Luigi Di Caro, C. Schifanella. MDMKDD '10, 2010

607 citations recorded by the source corpus.

Subfields: Information Systems, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/5e86ea7cfcc3a443f07ddabe8a70b2815f87552e

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In Information Systems

In Statistical and Nonlinear Physics

Citations in the corpus

Social big data: Recent achievements and new challenges (2015, methodology): “, LDA, Gibbs sampling, and the TSTE method [85]).”
Information diffusion in online social networks: a survey (2013, methodology): “[6] propose to use the well known PageRank algorithm [35] to assess the distribution of influence throughout the network.”
Tweet Analysis for Real-Time Event Detection and Earthquake Reporting System Development (2013, methodology): “Cataldi et al. proposed a novel method to detect emerging topics using a keyword-based topic graph [23].”
Learning to personalize trending image search suggestion (2014, background): “Meanwhile, the trending queries can be also mined from social networks [7, 28].”
Sensing Trending Topics in Twitter (2013, methodology): “[34], a PageRank-like measure is used to identify important users on the Twitter social network.”
From chatter to headlines: harnessing the real-time web for personalized news recommendation (2012, background): “A number of studies attempts to understand the twitter social network, the information-spread-ing process, and to discover emerging topics of interesest over such a network [6, 7, 15].”
Twitter for crisis communication: lessons learned from Japan's tsunami disaster (2011, background): “Because of this anonymity, some authors referred to Twitter as an information sharing tool rather than a social network platform (Cataldi et al., 2010; Lee et al., 2010; Osch and Avital, 2010).”
Beyond Trending Topics: Real-World Event Identification on Twitter (2011, background): “Twitter has attracted specialized attention among social media sites, with recent efforts focusing on detection of general topics [19] and trending topics [16, 6] in Twitter messages.”