Skip to main content

Social media for crisis management: clustering approaches for sub-event detection.

Pohl, D., Bouchachia, A. and Hellwagner, H., 2015. Social media for crisis management: clustering approaches for sub-event detection. Multimedia Tools and Applications, 74 (11), 3901 - 3932 .

This is the latest version of this eprint.

Full text available as:

Article_published_2013.12.27.pdf - Accepted Version


DOI: 10.1007/s11042-013-1804-2


Social media is getting increasingly important for crisis management, as it enables the public to provide information in different forms: text, image and video which can be valuable for crisis management. Such information is usually spatial and time-oriented, useful for understanding the emergency needs, performing decision making and supporting learning/training after the emergency. Due to the huge amount of data gathered during a crisis, automatic processing of the data is needed to support crisis management. One way of automating the process is to uncover sub-events (i.e., special hotspots) in the data collected from social media to enable better understanding of the crisis. We propose in the present paper clustering approaches for sub-event detection that operate on Flickr and YouTube data since multimedia data is of particular importance to understand the situation. Different clustering algorithms are assessed using the textual annotations (i.e., title, tags and description) and additional metadata information, like time and location. The empirical study shows in particular that social multimedia combined with clustering in the context of crisis management is worth using for detecting sub-events. It serves to integrate social media into crisis management without cumbersome manual monitoring.

Item Type:Article
Uncontrolled Keywords:Clustering ; Crisis management ; Information search and retrieval ; Social media ; Sub-event detection
Group:Faculty of Science & Technology
ID Code:22869
Deposited By: Symplectic RT2
Deposited On:03 Nov 2015 10:10
Last Modified:14 Mar 2022 13:54

Available Versions of this Item


Downloads per month over past year

More statistics for this item...
Repository Staff Only -