Online Social Network as a Powerful Tool to Identify Experts for Emergency Management

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)Not applicablepeer-review

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Author(s)

Related Research Unit(s)

Detail(s)

Original languageEnglish
Title of host publicationWeb-Age Information Management - WAIM 2014 International Workshops
Subtitle of host publicationBigEM, HardBD, DaNoS, HRSUNE, BIDASYS, Revised Selected Papers
EditorsWolf-Tilo Balke, Jianliang Xu, Peiquan Jin, Tiffany Tang, Xin Lin, Eenjun Hwang, Yueguo Chen, Wei Xu
PublisherSpringer 
Pages151-162
ISBN (Electronic)978-3-319-11538-2
ISBN (Print)978-3-319-11537-5
Publication statusPublished - Jun 2014

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume8597
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Workshop

TitleWAIM 2014 International Workshops
Location
PlaceChina
CityMacau
Period16 - 18 June 2014

Abstract

Widespread use of social network has changed people’s daily life as well as the way of emergency management.As a useful tool for information dissemination, communication and collaboration, social network plays an important role in the process of emergency management: mitigation, preparedness, communications, response and recovery. Emergency problem solving nowadays often need experts from various domain areas such as medicine, nuclear, chemistry, information technology and so on. It’s difficult and costly for local emergency management databases to be well prepared since emergency disasters are small probability events. This research captures the advantage of social network to tackle such issues. Expertise on online social network is available and trustworthy with supervision of crowds. Therefore, we propose a method though the integration of social position analysis and expertise level analysis to profile online individuals. Social position analysis captures the importance or prominence of an individual in social network, and expertise level analysis measures one’s expertise relevance and expertise level. Expert finding on online social can also capture one’s interest in the specific emergency disaster. We also give an empirical analysis in a selected small group. Outperformed individuals can be identified. More work is needed to validate the method on the specified social network in the future.

Research Area(s)

  • Emergency management, Expert finding, Online social network

Citation Format(s)

Online Social Network as a Powerful Tool to Identify Experts for Emergency Management. / Du, Wei; Xu, Wei; Sun, Jianshan; Ma, Jian.

Web-Age Information Management - WAIM 2014 International Workshops: BigEM, HardBD, DaNoS, HRSUNE, BIDASYS, Revised Selected Papers. ed. / Wolf-Tilo Balke; Jianliang Xu; Peiquan Jin; Tiffany Tang; Xin Lin; Eenjun Hwang; Yueguo Chen; Wei Xu. Springer , 2014. p. 151-162 (Lecture Notes in Computer Science; Vol. 8597).

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)Not applicablepeer-review