Wikipedia traffic data and electoral prediction: towards theoretically informed models-Reference-Cited by-同舟云学术

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Wikipedia traffic data and electoral prediction: towards theoretically informed models

Published:2016-06-18 Issue:1 Volume:5 Page:
ISSN:2193-1127
Container-title:EPJ Data Science
language:en
Short-container-title:EPJ Data Sci.

Author:

Yasseri Taha,Bright Jonathan

Funder

John Fell Fund, University of Oxford (GB)

Publisher

Springer Science and Business Media LLC

Subject

Computational Mathematics,Computer Science Applications,Modeling and Simulation

Link

http://link.springer.com/content/pdf/10.1140/epjds/s13688-016-0083-3.pdf

Reference31 articles.

1. Lazer D, Pentland A, Adamic L, Aral S, Barabasi A-L, Brewer D, Christakis N, Contractor N, Fowler J, Gutmann M, Jebara T, King G, Macy M, Roy D, Van Alstyne M (2009) Life in the network: the coming age of computational social science. Science 323(5915):721-723

2. Margetts HZ, John P, Hale SA, Yasseri T (2015) Political turbulence: how social media shape collective action. Princeton University Press, Princeton

3. Goel S, Hofman JM, Lahaie S, Pennock DM, Watts DJ (2010) Predicting consumer behavior with web search. Proc Natl Acad Sci USA 107(41):17486-17490

4. Curme C, Preis T, Stanley HE, Moat HS (2014) Quantifying the semantics of search behavior before stock market moves. Proc Natl Acad Sci USA 111(32):11600-11605

5. Kristoufek L (2013) Can Google trends search queries contribute to risk diversification? Sci Rep 3:2713

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