P. Arcaini, G. Bordogna, and S. Sterlacchini, Flexible Querying of Volunteered Geographic Information for Risk Management, Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology, 2013.
DOI : 10.2991/eusflat.2013.46

S. Ardon, A. Bagchi, A. Mahanti, A. Ruhela, A. Seth et al., Spatio-temporal and events based analysis of topic popularity in twitter, Proceedings of the 22nd ACM international conference on Conference on information & knowledge management, CIKM '13, pp.219-228, 2013.
DOI : 10.1145/2505515.2505525

F. Bießmann, J. M. Papaioannou, A. Harth, M. L. Jugel, K. R. Muller et al., Quantifiying spatio temporal dynamics of tweeters replies to news feeds, Proceedings of the 2012 IEEE International Workshop on Machine Learning for Signal Processing, pp.23-26, 2012.

D. Birant, A. Kut, and . St-dbscan, ST-DBSCAN: An algorithm for clustering spatial???temporal data, Data & Knowledge Engineering, vol.60, issue.1, pp.208-221, 2007.
DOI : 10.1016/j.datak.2006.01.013

J. Bollen, H. Mao, and . Pepe, Modeling public mood and emotion: Twitter sentiment and socio-economic phenomena, Proceedings of ICWSM, 2011.

G. Bordogna, F. Bucci, P. Carrara, M. Pepe, and A. Rampini, Flexible querying of imperfect temporal metadata in spatial data infrastructures, Advanced Database Query Systems: Techniques, Applications and Technologies, pp.140-159, 2011.

G. Bordogna, P. Carrara, L. Criscuolo, M. Pepe, and A. Rampini, A linguistic decision making approach to assess the quality of volunteer geographic information for citizen science, Information Sciences, vol.258, pp.258-312, 2014.
DOI : 10.1016/j.ins.2013.07.013

J. Chae, D. Thom, H. Bosch, Y. Jang, and . Maciejewski, Spatiotemporal social media analytics for abnormal event detection and examination using seasonaltrend decomposition, Proceedings of the Conference on Visual Analytics Science and Technology (VAST), pp.14-19, 2012.

S. Chandra, L. Khan, and F. Muhaya, Estimating Twitter User Location Using Social Interactions--A Content Based Approach, 2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third Int'l Conference on Social Computing, pp.838-843, 2011.
DOI : 10.1109/PASSAT/SocialCom.2011.120

T. Cheng and T. Wicks, Event detection using Twitter: A spatio-temporal approach, online PLOS one, 2014.

M. Ester, H. P. Kriegel, J. Sander, and X. Xu, A density-based algorithm for discovering clusters in large spatial databases with noise, Proceedings of the 2nd International Conference on Knowledge Discovery and Data Mining (KDD-96, pp.226-231

M. F. Goodchild, Citizens as voluntary sensors: spatial data infrastructure in the World of Web 2.0, Int. J. Spat. Data Infrastruct. Res, vol.2, pp.24-32, 2007.

M. F. Goodchild and L. Li, Assuring the quality of volunteered geographic information, Spatial Statistics, vol.1, pp.110-120, 2012.
DOI : 10.1016/j.spasta.2012.03.002

E. Hand, Citizen science: People power, Nature, vol.466, issue.7307, pp.685-687, 2010.
DOI : 10.1038/466685a

K. Y. Kamath, J. Caverlee, K. Lee, and Z. Cheng, Spatio-temporal dynamics of online memes, Proceedings of the 22nd international conference on World Wide Web, WWW '13, 2013.
DOI : 10.1145/2488388.2488447

B. Krishnamurthy, P. Gill, and M. Arlitt, A few chirps about twitter, Proceedings of the first workshop on Online social networks, WOSP '08, 2008.
DOI : 10.1145/1397735.1397741

H. Kwak, C. Lee, H. Park, and S. Moon, What is Twitter, a social network or a news media?, Proceedings of the 19th international conference on World wide web, WWW '10, pp.591-600, 2010.
DOI : 10.1145/1772690.1772751

C. H. Lee, Mining spatio-temporal information on microblogging streams using a density-based online clustering method, Expert Systems with Applications, vol.39, issue.10, pp.9623-9964, 2012.
DOI : 10.1016/j.eswa.2012.02.136

J. Leskovec, L. Backstrom, and J. Kleinberg, Meme-tracking and the dynamics of the news cycle, Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD '09, pp.497-506, 2009.
DOI : 10.1145/1557019.1557077

Q. Liu, M. Deng, J. Bi, and W. Yang, A novel method for discovering spatio-temporal clusters of different sizes, shapes, and densities in the presence of noise, International Journal of Digital Earth, vol.54, issue.10, pp.1-20, 2012.
DOI : 10.1103/PhysRevLett.101.018501

M. Nagarajan, K. Gomadam, A. P. Sheth, A. Ranabahu, R. Mutharaju et al., Spatio-Temporal-Thematic Analysis of Citizen Sensor Data: Challenges and Experiences, Proceedings of WISE '09, pp.539-553
DOI : 10.1007/978-3-642-04409-0_52

B. O. Connor, R. Balasubramanyan, B. R. Routledge, and N. A. Smith, From tweets to polls: linking text sentiment to public opinion time series, Proceedings of the International AAAI Conference on eblogs and Social Media, 2010.

O. Okolloh, Ushahidi, or 'testimony': Web 2.0 tools for crowdsourcing crisis information, Particip. Learn. Action, vol.59, issue.1, pp.65-70, 2009.

R. Oliveira, M. Y. Santos, J. M. Pires, and 4. Snn, 4D+SNN: A Spatio-Temporal Density-Based Clustering Approach with 4D Similarity, 2013 IEEE 13th International Conference on Data Mining Workshops, pp.1045-1052, 2013.
DOI : 10.1109/ICDMW.2013.119

Y. Raimond and S. Abdallah, The event ontology, 2007.

D. M. Romero, B. Meeder, and J. Kleinberg, Differences in the mechanics of information diffusion across topics, Proceedings of the 20th international conference on World wide web, WWW '11, pp.695-704, 2011.
DOI : 10.1145/1963405.1963503

B. Saaid, D. A. Simovici, and C. Zara, The impact of triangular inequality violations on medoid-based clustering, Proceedings of the 19th International Symposium ISMIS 2011, Foundation of Intelligent Systems, pp.280-289, 2011.

T. Sakaki, M. Okazaki, and Y. Matsuo, Earthquake shakes Twitter users, Proceedings of the 19th international conference on World wide web, WWW '10, pp.851-860, 2010.
DOI : 10.1145/1772690.1772777

R. W. Sinnott, Virtues of the Haversine, Sky Telesc, 1984.

D. Thom, H. Bosch, S. Koch, M. Woerner, and T. Ertl, Spatio temporal anomaly detection through visual analysis of geolocated twitter messages, Proceedings of the IEEE Pacic Visualization Symposium (PacicVis), 2012.

K. Watanabe, M. Ochi, M. Okabe, and R. Onai, Jasmine, Proceedings of the 20th ACM international conference on Information and knowledge management, CIKM '11, pp.2541-2544, 2011.
DOI : 10.1145/2063576.2064014

S. Wu, C. Tan, J. Kleinberg, and M. Macy, Does bad news go away faster?, Proceedings of the 5th International AAAI Conference on Weblogs and Social Media, pp.646-649, 2011.

J. Yang and J. Leskovec, Patterns of temporal variation in online media, Proceedings of the fourth ACM international conference on Web search and data mining, WSDM '11, pp.177-186, 2011.
DOI : 10.1145/1935826.1935863

S. Yardi and D. Boyd, Tweeting from the town square: Measuring geographic local networks, Proceedings of the 4th International AAAI Conference of Weblogs and Social Media, 2010.

H. Zhang, M. Korayem, E. You, and D. J. Crandall, Beyond co-occurrence, Proceedings of the fifth ACM international conference on Web search and data mining, WSDM '12, pp.2012-2045
DOI : 10.1145/2124295.2124302