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Public behavior response analysis in disaster events utilizing visual analytics of microblog data

Junghoon Chae, Dennis Thom, Yun Jang, SungYe Kim, Thomas Ertl, David S. Ebert
2014 Computers & graphics  
We demonstrate how to improve investigation by analyzing the extracted public behavior responses from social media before, during and after natural disasters, such as hurricanes and tornadoes.  ...  To analyze such social media data, our system provides the analysts with an interactive visual spatiotemporal analysis and spatial decision support environment that assists in evacuation planning and disaster  ...  We would like to thank the reviewers for their valuable suggestions and comments, which helped to improve the presentation of this work.  ... 
doi:10.1016/j.cag.2013.10.008 fatcat:ph6p4upyrja3hhjoeqfqpzvjfu

DisasterMapper

Qunying Huang, Guido Cervone, Duangyang Jing, Chaoyi Chang
2015 Proceedings of the 4th International ACM SIGSPATIAL Workshop on Analytics for Big Geospatial Data - BigSpatial'15  
A prototype is implemented and tested using the 2011 Hurricane Sandy as a case study.  ...  Traditional GIS tools and systems are powerful for analyzing geographic information for various applications but they are not designed for processing dynamic streams of data.  ...  Results also show that tweets related to Hurricane Sandy and associated with the hashtag "#Sandy" have also emerged.  ... 
doi:10.1145/2835185.2835189 dblp:conf/gis/HuangCJC15 fatcat:tiulcavgxran3af4f3o4ktdlru

Interactive interfaces for complex network analysis: An information credibility perspective

James Schaffer, Byungku Kang, Tobias Hollerer, Hengchang Liu, Chenji Pan, Siyu Giyu, John O'Donovan
2013 2013 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)  
An analysis scenario is performed through each system on a set of big data filtered from the Twitter message service.  ...  To assess the two approaches in terms of information credibility, the TopicNets system is compared with "Fluo", a novel system.  ...  ACKNOWLEDGMENT The authors would like to thank Svetlin Bostandjiev for his innovative research that inspired aspects of the Fluo system. This work was partially supported by the U.S.  ... 
doi:10.1109/percomw.2013.6529542 dblp:conf/percom/SchafferKHLPGO13 fatcat:cl4onzoryffjnmsexusrehphim

Behavioral clusters in dynamic graphs

James P. Fairbanks, Ramakrishnan Kannan, Haesun Park, David A. Bader
2015 Parallel Computing  
In order to successfully implement this method, we develop a feature based pipeline for dynamic graphs and apply Nonnegative Matrix Factorization (NMF) to these features.  ...  This paper contributes a method for combining sparse parallel graph algorithms with dense parallel linear algebra algorithms in order to understand dynamic graphs including the temporal behavior of vertices  ...  This produces an overall system that takes as long as the slowest algorithm. A total of 53 batches of 5000 edges were ingested from the Hurricane Sandy Twitter dataset.  ... 
doi:10.1016/j.parco.2015.03.002 fatcat:6jh5pyamxjerdnr4dsfkxded4m

Analytics and Evolving Landscape of Machine Learning for Emergency Response [chapter]

Rajendra Akerkar Minsung Hong
2019 Zenodo  
The purpose of this chapter is to discuss a hybrid crowdsourcing and real-time ma- chine learning approaches to rapidly process large volumes of data for emergency response in a time-sensitive manner.We  ...  In particular, this chapter also focuses on crowdsourcing approaches with machine learning to achieve better understanding and decision support during a disaster, and we discusses the issues on the approaches  ...  Acknowledgements The work is funded from the Research Council of Norway (RCN) and the Norwegian Centre for International Cooperation in Education (SiU) grant through INT-PART programme.  ... 
doi:10.5281/zenodo.5106014 fatcat:ui7kmryflbaljkim4u2ync2dqi

Processing Social Media Messages in Mass Emergency: A Survey [article]

Muhammad Imran, Carlos Castillo, Fernando Diaz, Sarah Vieweg
2015 arXiv   pre-print
In particular, many social media messages communicated during emergencies convey timely, actionable information.  ...  Social media platforms provide active communication channels during mass convergence and emergency events such as disasters caused by natural hazards.  ...  For example, an 20 During Hurricane Sandy in 2012: http://www.cbsnews.com/news/social-media-a-news-source-and-tool- during-superstorm-sandy/ A:14  ... 
arXiv:1407.7071v3 fatcat:e7mcvae5freddaus7ndolygeti

Scalable Privacy-Compliant Virality Prediction on Twitter [article]

Damian Konrad Kowalczyk, Jan Larsen
2019 arXiv   pre-print
The digital town hall of Twitter becomes a preferred medium of communication for individuals and organizations across the globe.  ...  In this paper, we revisit content popularity prediction on Twitter.  ...  (Huang et al. 2014) uses Lucene indexing with full-text searching ability on top of Hadoop for spectral clustering, to detect Twitter communities during the Hurricane Sandy disaster.  ... 
arXiv:1812.06034v2 fatcat:pb5me742izchxi7nvtcdohjtre

Processing Social Media Messages in Mass Emergency

Muhammad Imran, Carlos Castillo, Fernando Diaz, Sarah Vieweg
2015 ACM Computing Surveys  
In particular, many social media messages communicated during emergencies convey timely, actionable information.  ...  Social media platforms provide active communication channels during mass convergence and emergency events such as disasters caused by natural hazards.  ...  During Hurricane Sandy in 2012: http://www.cbsnews.com/news/social-media-a-news-source-and-toolduring-superstorm-sandy/. http://crisislex.org/.  ... 
doi:10.1145/2771588 fatcat:fb6bypzs6zdqznxv4maltpxvqq

Internet of Things (IoT) and Cloud Computing Enabled Disaster Management [article]

Raj Gaire, Chigulapalli Sriharsha, Deepak Puthal, Hendra Wijaya, Jongkil Kim, Prateeksha Keshari, Rajiv Ranjan, Rajkumar Buyya, Ratan K. Ghosh, R.K. Shyamasundar, Surya Nepal
2018 arXiv   pre-print
In addition, security and privacy has crucial role to overcome the misuse of the system for either intrusions into data or overcome the misuse of the information that was meant for a specified purpose.  ...  For example, sensors deployed in the fields collect data about the environment. Similarly, social networks like Twitter and Facebook can help to collect data from people in the disaster zone.  ...  We also acknowledge the contribution of Rodrigo Calheiros and Aadel Naadjaran Toosi for this work.  ... 
arXiv:1806.07530v1 fatcat:nbxbajg57fcllpb25priaxvvoi

Exploiting Social Networking and Mobile Data for Crisis Detection and Management [chapter]

Katerina Doka, Ioannis Mytilinis, Ioannis Giannakopoulos, Ioannis Konstantinou, Dimitrios Tsitsigkos, Manolis Terrovitis, Nectarios Koziris
2017 Lecture Notes in Business Information Processing  
The system focuses on scalability and relies on a combination of state-of-the art Big Data frameworks.  ...  The collection and analysis of mobile and social networking data before, during and after a disaster opens new perspectives in areas such as real-time event detection, crisis management and personalization  ...  produced in the first hours after the tsunami in Philippines and the 20k tweets/day registered during the Sandy storm in New York in 2012 [16] .  ... 
doi:10.1007/978-3-319-67633-3_3 fatcat:uyuunrpamzbjpk32bhmgzfhepe

Using Large Scale Aggregated Knowledge for Social Media Location Discovery

Dennis Thom, Harald Bosch, Robert Krueger, Thomas Ertl
2014 2014 47th Hawaii International Conference on System Sciences  
Using our prototype implementation and a collected dataset comprising more than one year of geolocated Twitter data, we evaluate the effectiveness of our strategies.  ...  Our results show that we can locate up to 74% of all messages that were written in specific cities and about 20% of messages written in specific districts.  ...  ACKNOWLEDGMENT This work was supported in part by the German Federal Ministry of Education and Research (BMBF) in context of the VASA project and by the cooperative graduate program 'Digital Media' of  ... 
doi:10.1109/hicss.2014.189 dblp:conf/hicss/ThomBKE14 fatcat:pvyzpd4prfchhjxhkha5wungvi

Semantics-Empowered Big Data Processing with Applications

Krishnaprasad Thirunarayan, Amit Sheth
2015 The AI Magazine  
We discuss the nature of big data and address the role of semantics in analyzing and processing big data that arises in the context of physical-cyber-social systems.  ...  To handle volume, we advocate semantic perception that can convert low-level observational data to higher-level abstractions more suitable for decision-making.  ...  Scalable Querying over Integrated Linked Open Data.  ... 
doi:10.1609/aimag.v36i1.2566 fatcat:utph5wmxvzb6ldoz53pusypzjy

Engineering Scalable Distributed Services for Real-Time Big Data Analytics

Sahar Jambi, Kenneth M. Anderson
2017 2017 IEEE Third International Conference on Big Data Computing Service and Applications (BigDataService)  
EPIC Real-Time performs along a number of non-functional requirements important for big data, such as performance, usability, scalability, and reliability. iv ACKNOWLEDGEMENTS First, I would like to thank  ...  during an event.  ...  2010 and Hurricane Sandy in 2012.  ... 
doi:10.1109/bigdataservice.2017.22 dblp:conf/bigdataservice/JambiA17 fatcat:ffx657klkbbqvnv7v6yztb6tfi

The Web of False Information: Rumors, Fake News, Hoaxes, Clickbait, and Various Other Shenanigans [article]

Savvas Zannettou, Michael Sirivianos, Jeremy Blackburn, Nicolas Kourtellis
2019 arXiv   pre-print
In this paper, we make a step in this direction by providing a typology of the Web's false information ecosystem, comprising various types of false information, actors, and their motives.  ...  particular, the research community.  ...  [78] focus on the diffusion of fake images in Twitter during Hurricane Sandy in 2012.  ... 
arXiv:1804.03461v3 fatcat:n6tcgwt3wfcpnlrcfiwrz7trj4

The Web of False Information: Rumors, Fake News, Hoaxes, Clickbait, and Various Other Shenanigans [article]

Savvas Zannettou, Michael Sirivianos, Jeremy Blackburn, Nicolas Kourtellis
2018 Zenodo  
In this paper, we make a step in this direction by providing a taxonomy of the Web's false information ecosystem, comprising various types of false information, actors, and their motives.  ...  particular, the research community.  ...  [76] focus on the diffusion of fake images in Twitter during Hurricane Sandy in 2012.  ... 
doi:10.5281/zenodo.1479936 fatcat:ocyoy7z7dfcjzhhhxym47j5bhy
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