TWITTER AS A SOURCE OF BIG SPATIAL DATA

LEE, K., AGRAWAL, A. and CHOUDHARY, A., 2013, Real -time Disease Surveillance Using Twitter Data: Demonstration on Flu and Cancer. In : Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. New York, NY, USA : ACM. 2013. p. 1474 –1477. KDD ’13. ISBN 978 -1- 4503-2174-7.

HAWELKA, B., SITKO, I., BEINAT, E., SOBOLEVSKY, S., KAZAKOPOULOS, P. and RATTI, C., 2014, Geo -located Twitter as proxy for global mobility patterns. Cartography and Geographic Information Science. 2014. Vol. 41, no. 3, p. 260 –271. DOI: 10.1080/15230406.2014.890072.

LIN, P. and HUANG, P., 2013, A study of effective features for detecting long - surviving Twitter spam accounts. In : 2013 15th International Conference on Advanced Communication Technology (ICACT). January 2013. p. 841–846.

ANDERSON, K. M., SCHRAM, A., ALZABARAH, A. and PALEN, L., 2013, Architectural Implications of Social Media Analytics in Support of Crisis Informatics Research. IEEE Data Eng. Bull. 2013. Vol. 36, no. 3, p. 13–20.

WANG, Y., CALLAN, J. and ZHENG, B., 2015, Should We Use the Sample Analyzing Datasets Sampled from Twitter’s Stream API. ACM Trans. Web. June 2015. Vol. 9, no. 3, p. 13:1–13:23. DOI: 10.1145/2746366.

MORSTATTER, F., PFEFFER, J., LIU, H. and CARLEY, K. M., 2013, Is the Sample Good Enough Comparing Data from Twitter’s Streaming API with Twitter’s Firehose. 21 June 2013. Available from: http://arxiv.org/abs/1306.5204

MAKICE, K., 2009, Twitter API: Up and running: Learn how to build applications with the Twitter API. O’Reilly Media, Inc.

TWITTER, INC., 2015, Twitter Developers. [online]. [Accessed 22 December 2015]. Available from: https://dev.twitter.com/

HORÁK, J., BELAJ, P., IVAN, I. , NEMEC, P. , ARDIELLI, J. and RŮŽIČKA, J.. 2011, Geoparsing of Czech RSS news and evaluation of its spatial distribution . 2011. Studies in Computational Intelligence 381, pp. 353-367.

PIYUSH, K., 2015. 80% reduction in tweets with coordinate data - Streaming APIs - Twitter Developer [online]. 2015. [Accessed 17 January 2016]. Available from: https://twittercommunity.com/users/pi_kumar/activity 16th International Multidisciplinary Scientific GeoConference SGEM2016 www.sgem.org

LEE, K., AGRAWAL, A. and CHOUDHARY, A., 2013, Real -time Disease Surveillance Using Twitter Data: Demonstration on Flu and Cancer. In : Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. New York, NY, USA : ACM. 2013. p. 1474 –1477. KDD ’13. ISBN 978 -1- 4503-2174-7.

HAWELKA, B., SITKO, I., BEINAT, E., SOBOLEVSKY, S., KAZAKOPOULOS, P. and RATTI, C., 2014, Geo -located Twitter as proxy for global mobility patterns. Cartography and Geographic Information Science. 2014. Vol. 41, no. 3, p. 260 –271. DOI: 10.1080/15230406.2014.890072.

LIN, P. and HUANG, P., 2013, A study of effective features for detecting long - surviving Twitter spam accounts. In : 2013 15th International Conference on Advanced Communication Technology (ICACT). January 2013. p. 841–846.

ANDERSON, K. M., SCHRAM, A., ALZABARAH, A. and PALEN, L., 2013, Architectural Implications of Social Media Analytics in Support of Crisis Informatics Research. IEEE Data Eng. Bull. 2013. Vol. 36, no. 3, p. 13–20.

WANG, Y., CALLAN, J. and ZHENG, B., 2015, Should We Use the Sample Analyzing Datasets Sampled from Twitter’s Stream API. ACM Trans. Web. June 2015. Vol. 9, no. 3, p. 13:1–13:23. DOI: 10.1145/2746366.

MORSTATTER, F., PFEFFER, J., LIU, H. and CARLEY, K. M., 2013, Is the Sample Good Enough Comparing Data from Twitter’s Streaming API with Twitter’s Firehose. 21 June 2013. Available from: http://arxiv.org/abs/1306.5204

MAKICE, K., 2009, Twitter API: Up and running: Learn how to build applications with the Twitter API. O’Reilly Media, Inc.

TWITTER, INC., 2015, Twitter Developers. [online]. [Accessed 22 December 2015]. Available from: https://dev.twitter.com/

HORÁK, J., BELAJ, P., IVAN, I. , NEMEC, P. , ARDIELLI, J. and RŮŽIČKA, J.. 2011, Geoparsing of Czech RSS news and evaluation of its spatial distribution . 2011. Studies in Computational Intelligence 381, pp. 353-367.

PIYUSH, K., 2015. 80% reduction in tweets with coordinate data - Streaming APIs - Twitter Developer [online]. 2015. [Accessed 17 January 2016]. Available from: https://twittercommunity.com/users/pi_kumar/activity 16th International Multidisciplinary Scientific GeoConference SGEM2016 www.sgem.org