Journal ArticleDOI
Using Social Media to Enhance Emergency Situation Awareness
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In this paper, a system uses natural language processing and data mining techniques to extract situation awareness information from Twitter messages generated during various disasters and crises, such as hurricanes, floods, and floods.Abstract:
The described system uses natural language processing and data mining techniques to extract situation awareness information from Twitter messages generated during various disasters and crises.read more
Citations
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Journal ArticleDOI
Processing Social Media Messages in Mass Emergency: A Survey
TL;DR: This survey surveys the state of the art regarding computational methods to process social media messages and highlights both their contributions and shortcomings, and methodically examines a series of key subproblems ranging from the detection of events to the creation of actionable and useful summaries.
Journal ArticleDOI
Detection and Resolution of Rumours in Social Media: A Survey
TL;DR: The authors provide an overview of research into social media rumours with the ultimate goal of developing a rumour classification system that consists of four components: rumour detection, rumor tracking, rumour stance classification, and rumour veracity classification.
Journal ArticleDOI
Social network analysis
Jooho Kim,Makarand Hastak +1 more
TL;DR: The study explores patterns created by the aggregated interactions of online users on Facebook during disaster responses and provides insights to understand the critical role of social media use for emergency information propagation.
Journal ArticleDOI
Data-Driven Techniques in Disaster Information Management
Tao Li,Ning Xie,Chunqiu Zeng,Wubai Zhou,Li Zheng,Yexi Jiang,Yimin Yang,Hsin-Yu Ha,Wei Xue,Yue Huang,Shu-Ching Chen,Jainendra K. Navlakha,S. Sitharama Iyengar +12 more
TL;DR: A general overview of the requirements and system architectures of disaster management systems is presented and state-of-the-art data-driven techniques that have been applied on improving situation awareness as well as in addressing users’ information needs in disaster management are summarized.
Journal ArticleDOI
Real-Time Crisis Mapping of Natural Disasters Using Social Media
TL;DR: The proposed social media crisis mapping platform for natural disasters uses locations from gazetteer, street map, and volunteered geographic information (VGI) sources for areas at risk of disaster and matches them to geoparsed real-time tweet data streams to generate real- time crisis maps.
References
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Journal ArticleDOI
Silhouettes: a graphical aid to the interpretation and validation of cluster analysis
TL;DR: A new graphical display is proposed for partitioning techniques, where each cluster is represented by a so-called silhouette, which is based on the comparison of its tightness and separation, and provides an evaluation of clustering validity.
Journal ArticleDOI
Toward a Theory of Situation Awareness in Dynamic Systems
TL;DR: A theoretical model of situation awareness based on its role in dynamic human decision making in a variety of domains is presented and design implications for enhancing operator situation awareness and future directions for situation awareness research are explored.
Journal ArticleDOI
Survey of clustering algorithms
Rui Xu,Donald C. Wunsch +1 more
TL;DR: Clustering algorithms for data sets appearing in statistics, computer science, and machine learning are surveyed, and their applications in some benchmark data sets, the traveling salesman problem, and bioinformatics, a new field attracting intensive efforts are illustrated.
Proceedings ArticleDOI
Earthquake shakes Twitter users: real-time event detection by social sensors
TL;DR: This paper investigates the real-time interaction of events such as earthquakes in Twitter and proposes an algorithm to monitor tweets and to detect a target event and produces a probabilistic spatiotemporal model for the target event that can find the center and the trajectory of the event location.
Proceedings ArticleDOI
Microblogging during two natural hazards events: what twitter may contribute to situational awareness
TL;DR: Analysis of microblog posts generated during two recent, concurrent emergency events in North America via Twitter, a popular microblogging service, aims to inform next steps for extracting useful, relevant information during emergencies using information extraction (IE) techniques.