Stammdaten

Titel: Information Propagation in Social Networks during Crises: A Structural Framework
Untertitel:
Kurzfassung:

In crisis situations like riots, earthquakes, storms, etc. information plays a central role in the process of organizing interventions and decision making. Due to their increasing use during crises, social media (SM) represents a valuable source of information that could help obtain a full picture of people needs and concerns. In this chapter, we highlight the importance of SM networks in crisis management (CM) to show how information is propagated through. The chapter also summarizes the current state of research related to information propagation in SM networks during crises. In particular three classes of information propagation research categories are identified: network analysis and community detection, role and topic-oriented information propagation, and infrastructure-oriented information propagation. The chapter describes an analysis framework that deals with structural information propagation for crisis management purposes. Structural propagation is about broadcasting specific information obtained from social media networks to targeted sinks/receivers/hubs like emergency agencies, police department, fire department, etc. Specifically, the framework aims to identify the discussion topics, known as sub-events , related to a crisis (event) from SM contents. A brief description of techniques used to detect topics and the way those topics can be used in structural information propagation are presented.

Schlagworte:
Publikationstyp: Beitrag in Sammelwerk (Autorenschaft)
Erscheinungsdatum: 03.2015 (Print)
Erschienen in: Propagation Phenomena in Real World Networks
Propagation Phenomena in Real World Networks
zur Publikation
 ( Springer International Publishing AG; D. Król, D. Fay, B. Gabrys )
Titel der Serie: -
Bandnummer: 85
Erstveröffentlichung: Ja
Version: -
Seite: S. 293 - 309

Versionen

Keine Version vorhanden
Erscheinungsdatum:
ISBN (e-book): -
eISSN: -
DOI: http://dx.doi.org/10.1007/978-3-319-15916-4_12
Homepage: -
Open Access
  • Online verfügbar (nicht Open Access)
Erscheinungsdatum: 03.2015
ISBN:
  • 978-3-319-15915-7
ISSN: -
Homepage: http://link.springer.com/chapter/10.1007%2F978-3-319-15916-4_12

AutorInnen

Zuordnung

Organisation Adresse
Fakultät für Technische Wissenschaften
 
Institut für Informationstechnologie
Universitaetsstr. 65-67
9020 Klagenfurt am Wörthersee
Österreich
   martina.steinbacher@aau.at
http://itec.aau.at/
zur Organisation
Universitaetsstr. 65-67
AT - 9020  Klagenfurt am Wörthersee

Kategorisierung

Sachgebiete
  • 1020 - Informatik
Forschungscluster Kein Forschungscluster ausgewählt
Peer Reviewed
  • Ja
Publikationsfokus
  • Science to Science (Qualitätsindikator: II)
Klassifikationsraster der zugeordneten Organisationseinheiten:
Arbeitsgruppen
  • Multimedia Communication

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Beiträge der Publikation

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