Event detection and identification of influential spreaders in social media data streams | Zendy

Leilei Shi | Zendy; Yan Wu | Zendy; Lu Liu | Zendy; Xiang Sun | Zendy; Liang Jiang | Zendy

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Event detection and identification of influential spreaders in social media data streams

Author(s) -

Leilei Shi,

Yan Wu,

Lu Liu,

Xiang Sun,

Liang Jiang

Publication year - 2018

Publication title -

big data mining and analytics

Language(s) - English

Resource type - Journals

ISSN - 2096-0654

DOI - 10.26599/bdma.2018.9020004

Subject(s) - latent dirichlet allocation , microblogging , computer science , social media , event (particle physics) , identification (biology) , key (lock) , topic model , data mining , data science , information retrieval , world wide web , computer security , physics , botany , quantum mechanics , biology

Microblogging, a popular social media service platform, has become a new information channel for users to receive and exchange the most up-to-date information on current events. Consequently, it is a crucial platform for detecting newly emerging events and for identifying influential spreaders who have the potential to actively disseminate knowledge about events through microblogs. However, tradit...

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