R. Q. Wang, H. Mao, Y. Wang, C. Rae, and W. Shaw, Hyper-resolution monitoring of urban flooding with social media and crowdsourcing data, Computers and Geosciences, vol.111, p.162, 2018.

S. Sudrich, J. Borges, and M. Beigl, Graph-based Anomaly Detection for Smart Cities: A Survey, IEEE International Conference on Smart City Innovations (IEEE SCI 2017, p.154, 2017.

Z. Xu, Y. Liu, J. Xuan, H. Chen, and L. Mei, Crowdsourcing based social media data analysis of urban emergency events, Multimedia Tools and Applications, vol.76, issue.9, p.155, 2017.

B. Schwarz, G. Pestre, B. Tellman, J. Sullivan, C. Kuhn et al., Mapping Floods and Assessing Flood Vulnerability for Disaster Decision-Making: A Case Study Remote Sensing Application in Senegal, Earth Observation Open Science and Innovation, pp.293-300, 2018.

J. R. Ragini, P. M. Anand, and V. Bhaskar, Big data analytics for disaster response and recovery through sentiment analysis, International Journal of Information Management, vol.42, p.162, 2018.

Y. Zheng, T. Liu, Y. Wang, Y. Zhu, Y. Liu et al., Diagnosing New York city's noises with ubiquitous data, Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing - UbiComp '14 Adjunct, p.154, 2014.

B. Kantarci and H. T. Mouftah, Trustworthy Sensing for Public Safety in Cloud-Centric Internet of Things, IEEE Internet of Things Journal, vol.1, issue.4, pp.360-368, 2014.

J. Kim and M. Hastak, Social network analysis: Characteristics of online social networks after a disaster, International Journal of Information Management, vol.38, issue.1, p.154, 2018.

R. Stoa, julio-diciembre de 2017, Stoa, vol.8, issue.16, pp.151-169, 2017.

A. P. Castellani, N. Bui, P. Casari, M. Rossi, Z. Shelby et al., Architecture and protocols for the internet of things: A case study, 2010 8th IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops, pp.678-683, 2010.

A. Cenedese, A. Zanella, L. Vangelista, and M. Zorzi, Padova Smart City: An urban Internet of Things experimentation, Proceeding of IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks 2014, pp.1-6, 2014.

C. Adjih, E. Baccelli, E. Fleury, G. Harter, N. Mitton et al., FIT IoT-LAB: A large scale open experimental IoT testbed, 2015 IEEE 2nd World Forum on Internet of Things (WF-IoT), 2015.
URL : https://hal.archives-ouvertes.fr/hal-01213938

Y. Huang, W. Lin, and H. Zheng, A Decision Support System Based on GIS for Flood Prevention of Quanzhou City, 2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics, vol.153, pp.50-53, 2013.

A. C. Weaver, J. P. Boyle, and L. I. Besaleva, Applications and Trust Issues When Crowdsourcing a Crisis, 2012 21st International Conference on Computer Communications and Networks (ICCCN), 2012.

, IEEE, pp.1-5, 2012.

S. Koontanakulvong and P. Santitamnanon, Lessons learned and information technology roles in Thailand floods 2011, 2013 IEEE Region 10 Humanitarian Technology Conference, pp.298-302, 2013.

Y. S. Yilmaz, M. F. Bulut, C. G. Akcora, M. A. Bayir, and M. Demirbas, Trend sensing via Twitter, International Journal of Ad Hoc and Ubiquitous Computing, vol.14, issue.1, p.162, 2013.

J. Clement, Social network users in leading markets 2023 | Statista, 2019.

L. Marek, M. Campbell, and L. Bui, Shaking for innovation: The (re)building of a (smart) city in a post disaster environment, Cities, vol.63, pp.41-50, 2017.

Y. Ding, D. Wang, X. Xin, G. Li, D. Sun et al., SCFM: Social and crowdsourcing factorization machines for recommendation, Applied Soft Computing Journal, vol.66, pp.548-556, 2018.

R. Gaire, C. Sriharsha, D. Puthal, H. Wijaya, J. Kim et al., Internet of Things (IoT) and Cloud Computing Enabled Disaster Management, p.159, 2018.

L. F. De-assis, F. E. Horita, E. P. De-freitas, J. Ueyama, and J. P. De-albuquerque, A service-oriented middleware for integrated management of crowdsourced and sensor data streams in disaster management, Sensors (Switzerland), vol.18, issue.6, p.162, 2018.

, Emergencias por lluvias en San Gil dejan un niño muerto y 20 heridos, p.156, 2016.

M. V. Llorente, J. C. Garzón, and B. Ramirez, Así se concentra el homicidio en las ciudades, vol.156, p.157, 2016.

M. Puentes, D. Novoa, J. M. Delgado-nivia, C. J. Barrios-hernandez, O. Carrillo et al., Pedestrian Behaviour Modeling and Simulation from Real Time Data Information, 2nd Workshop CATAÏ -SmartData for Citizen Wellness, 2019.
URL : https://hal.archives-ouvertes.fr/hal-02915702

J. Mejía, Con 900 cámaras de seguridad analizarán comportamiento de santandereanos -Blu Radio

A. E. , Malos olores enrarecen el aire que se respira en Bucaramanga

M. Lèbre, F. L. Mouël, and E. Ménard, Efficient Vehicular Crowdsourcing Models in VANET for Disaster Management, VTC Spring 2020 -IEEE 91st Vehicular Technology Conference, 2020.

S. Tschiatschek, A. Singla, M. G. Rodriguez, A. Merchant, and A. Krause, Fake News Detection in Social Networks via Crowd Signals, 2017.

C. C. Byers and P. Wetterwald, Fog Computing Distributing Data and Intelligence for Resiliency and Scale Necessary for IoT, Ubiquity, vol.2015, p.159, 2015.

, ing.cienc, vol.16, issue.32, pp.151-169

A. Yousefpour, C. Fung, T. Nguyen, K. Kadiyala, F. Jalali et al., All one needs to know about fog computing and related edge computing paradigms: A complete survey, pp.289-330, 2019.

M. Parra, E. Guillen, F. L. Mouël, and O. Carrillo, Sistema colaborativo de medición de parámetros ambientales basado en IoT, 2nd Workshop CATAÏ -SmartData for Citizen Wellness, 2019.

R. Roman, J. Lopez, and M. Mambo, Mobile edge computing, Fog et al.: A survey and analysis of security threats and challenges, Future Generation Computer Systems, vol.78, pp.680-698, 2018.

P. Y. Zhang, M. C. Zhou, and G. Fortino, Security and trust issues in Fog computing: A survey, Future Generation Computer Systems, vol.88, pp.16-27, 2018.

J. He, J. Wei, K. Chen, Z. Tang, Y. Zhou et al., Multitier Fog Computing With Large-Scale IoT Data Analytics for Smart Cities, IEEE Internet of Things Journal, vol.5, issue.2, pp.677-686, 2018.

S. Nadal, O. Romero, A. Abelló, P. Vassiliadis, and S. Vansummeren, An integration-oriented ontology to govern evolution in Big Data ecosystems, 2018.

M. Avvenuti, S. Cresci, F. Vigna, T. Fagni, and M. Tesconi, CrisMap: a Big Data Crisis Mapping System Based on Damage Detection and Geoparsing, vol.3, pp.1-19, 2018.

N. Silva, E. R. Marques, and L. M. Lopes, Flux: a platform for dynamically reconfigurable mobile crowd-sensing, ACM Trans. Sensor Netw. Article, vol.1, issue.1, 2018.

N. Shoval, Y. Schvimer, and M. Tamir, Tracking technologies and urban analysis: Adding the emotional dimension, Cities, vol.72, pp.34-42, 2018.

A. Y. Zhang, M. Lu, D. Kong, and J. Yang, Bayesian time series forecasting with change point and anomaly detection, 2018.

I. A. Delgado, O. Carrillo, and F. L. Mouël, Modleamiento y predicción de lluvias usando Edge Computing para el entorno colombiano, 2nd Workshop CATAÏ -SmartData for Citizen Wellness, 2019.

, ing.cienc, vol.16, issue.32, pp.151-169