Large-scale evaluation framework for local influence theories in Twitter

Author:

Kardara Magdalini,Papadakis George,Papaoikonomou Athanasios,Tserpes Konstantinos,Varvarigou Theodora

Publisher

Elsevier BV

Subject

Library and Information Sciences,Management Science and Operations Research,Computer Science Applications,Media Technology,Information Systems

Reference42 articles.

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2. Influence and correlation in social networks;Anagnostopoulos,2008

3. Distinguishing influence-based contagion from homophily-driven diffusion in dynamic networks;Aral;Proceedings of the National Academy of Sciences,2009

4. Everyone’s an influencer: Quantifying influence on Twitter;Bakshy,2011

5. Barbosa, L., & Feng, J. (2010). Robust sentiment detection on Twitter from biased and noisy data (pp. 36–44). Beijing, China: Association for Computational Linguistics.

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