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Early detection of persistent topics in social networks

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Year: 2015
Type: article
Source: Social Network Analysis and Mining
DOI: 10.1007/s13278-015-0257-1
Authors: Shota Saito, Ryota Tomioka, Kenji Yamanishi
Institutions: The University of Tokyo, Toyota Technological Institute at Chicago, Japan Science and Technology Agency
Language: English

Topic: Complex Network Analysis Techniques
Subfield: Statistical and Nonlinear Physics
Field: Physics and Astronomy
Domain: Physical Sciences

Open Access status: closed

Funders: Ministry of Education, Culture, Sports, Science and Technology, Japan Society for the Promotion of Science
Award: Study on Information theoretic Learning Theory of Latent Dynamics
OpenAlex ID: W2245740819
FWCI: 0.21
Cites: 44
Cited by: 1
Related to: 10
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