Online social networks and offline protest-Reference-Cited by-同舟云学术

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Online social networks and offline protest

Published:2015-11-09 Issue:1 Volume:4 Page:
ISSN:2193-1127
Container-title:EPJ Data Science
language:en
Short-container-title:EPJ Data Sci.

Author:

Steinert-Threlkeld Zachary C,Mocanu Delia,Vespignani Alessandro,Fowler James

Funder

U.S. Department of the Interior

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/s13688-015-0056-y.pdf

Reference33 articles.

1. Asur S, Huberman BA (2010) Predicting the future with social media. In: 2010 IEEE/WIC/ACM international conference on web intelligence and intelligent agent technology, pp 492-499

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

3. Lecture notes in computer science;J Xu,2014

4. Ramakrishnan N, Butler P, Muthiah S, Self N, Khandpur R, Saraf P, Wang W, Cadena J, Vullikanti A, Korkmaz G, Kuhlman C, Marathe A, Zhao L, Hua T, Chen F, Lu CT, Huang B, Srinivasan A, Trinh K, Getoor L, Katz G, Doyle A, Ackermann C, Zavorin I, Ford J, Summers K, Fayed Y, Arredondo J, Gupta D, Mares D (2014) “Beating the news” with EMBERS: forecasting civil unrest using open source indicators. In: Proceedings of the 20th ACM SIGKDD international conference on knowledge discovery and data mining. KDD ’14. ACM, New York, pp 1799-1808. doi: 10.1145/2623330.2623373

5. Boecking B, Hall M, Schneider J (2015) Event prediction with learning algorithms - a study of events surrounding the Egyptian revolution of 2011 on the basis of micro blog data. Policy Internet 7:159-184

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