The Classification of Space-Time Behaviour Patterns in a British City from Crowd-Sourced Data-Reference-Cited by-同舟云学术

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The Classification of Space-Time Behaviour Patterns in a British City from Crowd-Sourced Data

Published:2013 Issue: Volume: Page:179-192
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Birkin Mark,Harland Kirk,Malleson Nicolas

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-39649-6_13

Reference15 articles.

1. Thelwall, M., Buckley, K., Paltoglou, G.: Sentiment in twitter events. Journal of the American Society for Information and Technology 62, 406–418 (2011)

2. Kawamoto, T.: A Stochastic Model of Tweet Diffusion on the Twitter Network. Physica A: Statistical Mechanics and Its Applications (in press), http://dx.doi.org/10.1016/j.physa.2013.03.048

3. Xiong, F., Liu, Y., Zhang, Z., Zhu, J., Zhang, Y.: An Information Diffusion Model Based on Retweeting Mechanism for Online Social Media. Physics Letters A 376, 2103–2108 (2012)

4. Tumasjan, A., Sprenger, T.O., Sandner, P.G., Welpe, I.M.: Election Forecasts With Twitter: How 140 Characters Reflect the Political Landscape. Social Science Computer Review 29, 402–418 (2011)

5. Sobkowicz, P., Kaschesky, M., Bouchard, G.: Opinion Mining in Social Media: Modeling, Simulating, and Forecasting Political Opinions in the Web. Government Information Quarterly 29, 470–479 (2012), doi:10.1016/j.giq.2012.06.005.

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