C. Anderson, The end of theory: The data deluge makes the scientific method obsolete, 2008.

G. Andrienko, N. Andrienko, H. Bosch, T. Ertl, G. Fuchs et al., Thematic Patterns in Georeferenced Tweets through Space-Time Visual Analytics, Computing in Science & Engineering, vol.15, issue.3, pp.72-82, 2013.
DOI : 10.1109/MCSE.2013.70

S. Dashti, L. Palen, M. P. Heris, K. M. Anderson, T. J. Anderson et al., Supporting disaster reconnaissance with social media data : a design-oriented case study of the 2013 Colorado floods, Proceedings of the 11th International ISCRAM Conference, 2014.

D. Longeville, B. Smith, R. S. Luraschi, and G. , "OMG, from here, I can see the flames!", Proceedings of the 2009 International Workshop on Location Based Social Networks, LBSN '09, 2009.
DOI : 10.1145/1629890.1629907

A. Dittrich and C. Lucas, Is this Twitter event a disaster, Proceedings of the AGILE'2014 International Conference on Geographic Information Science, 2014.

M. Erwig, Toward Spatio-Temporal Patterns. Spatio-Temporal Databases, pp.29-53, 2004.

B. Hawelka, I. Sitko, E. Beinat, S. Sobolevsky, P. Kazakopoulos et al., Geo-located Twitter as proxy for global mobility patterns, Cartography and Geographic Information Science, vol.42, issue.4, pp.260-271, 2014.
DOI : 10.2307/2087063

B. Hertfort, J. Porto-de-albuquerque, S. Schelhorn, and A. Zipf, Exploring the geographical relations between social media and flood phenomena to improve situational awareness. Connecting a digital Europe through Location and Place, pp.55-71, 2014.

M. Hoffmann, Problems with Peirce's concept of abduction, Foundations of Science, vol.4, issue.3, pp.271-305, 1999.
DOI : 10.1023/A:1009675824079

D. B. Kell and S. G. Oliver, Here is the evidence, now what is the hypothesis? The complementary roles of inductive and hypothesis-driven science in the post-genomic era, BioEssays, vol.299, issue.1, pp.99-105, 2003.
DOI : 10.1002/bies.10385

R. Kitchin, Big data and human geography: Opportunities, challenges and risks, Dialogues in Human Geography, pp.262-267, 2013.
DOI : 10.1177/2043820613513388
URL : http://eprints.maynoothuniversity.ie/5366/1/RK_big%20data%20human.pdf

O. Kounadi, T. J. Lampoltshammer, E. Groff, I. Sitko, and M. Leitner, Exploring Twitter to Analyze the Public???s Reaction Patterns to Recently Reported Homicides in London, PLOS ONE, vol.323, issue.41, 2015.
DOI : 10.1371/journal.pone.0121848.s002

L. Hughes, A. Palen, and L. , Twitter adoption and use in mass convergence and emergency events, Proceedings of the 6th International ISCRAM Conference, 2009.
DOI : 10.1504/IJEM.2009.031564

L. Li, M. F. Goodchild, and B. Xu, Spatial, temporal, and socioeconomic patterns in the use of Twitter and Flickr, Cartography and Geographic Information Science, vol.13, issue.1, pp.61-77, 2013.
DOI : 10.1080/15230406.2013.777139

Y. R. Lin, D. Margolin, B. Keegan, A. Baronchelli, and D. Lazer, #Bigbirds never die : understanding social dynamics of emergent hashtags, Proceedings of the 7th International AAAI Conference on Weblogs and Social Media, 2013.

H. J. Miller, Placed-Based versus People-Based Geographic Information Science, Geography Compass, vol.10, issue.3, pp.503-535, 2007.

H. J. Miller and M. F. Goodchild, Data-driven geography, GeoJournal, vol.81, issue.1, pp.449-461, 2015.
DOI : 10.1007/s10708-014-9602-6

B. B. Walters, An event-based methodology for climate change and human???environment research, Geografisk Tidsskrift-Danish Journal of Geography, vol.16, issue.10, pp.135-143, 2012.
DOI : 10.1080/00167223.2012.741890