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International Conference on Web-Age Information Management

WAIM 2014: Web-Age Information Management pp 151–162Cite as

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

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8597))

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.

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Notes

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References

  1. White, C., Plotnick, L., Kushma, J., Hiltz, S.R.: An online social network for emergency management. Int. J. Emer. Manag. 6(3), 369–382 (2009)

    Article  Google Scholar 

  2. Benbunan-Fich, R., Koufaris, M.: An empirical examination of the sustainability of social bookmarking websites. Inf. Syst. E-bus. Manag. 8(2), 131–148 (2010)

    Article  Google Scholar 

  3. Turoff, M., Chumer, M., Van de Walle, B., Yao, X.: The design of a dynamic emergency response management information system (DERMIS). JITTA 5(4), 1–35 (2004)

    Google Scholar 

  4. Gao, H., Barbier, G., Goolsby, R.: Harnessing the crowdsourcing power of social media for disaster relief. IEEE Intell. Syst. 26(3), 10–14 (2011)

    Article  Google Scholar 

  5. Turoff, M.: Past and future emergency response information systems. Commun. ACM 45(4), 29–32 (2002)

    Article  Google Scholar 

  6. Haddow, G., Bullock, J., Coppola, D.P.: Introduction to Emergency Management. Butterworth-Heinemann, Burlington (2007)

    Google Scholar 

  7. Berke, P.R., Kartez, J., Wenger, D.: Recovery after disaster: achieving sustainable development, mitigation and equity. Disasters 17(2), 93–109 (1993)

    Article  Google Scholar 

  8. Plotnick, L., White, C., Plummer, M.M.: The design of an online social network site for emergency management: A one stop shop, p. 420. In: Amcis (2009)

    Google Scholar 

  9. Kirschenbaum, A.: Generic sources of disaster communities: a social network approach. Int. J. Sociol. Soc. Policy 24(10/11), 94–129 (2004)

    Article  Google Scholar 

  10. Brandes, U.: A faster algorithm for betweenness centrality. J. Math. Sociol. 25(2), 163–177 (2001)

    Article  MATH  Google Scholar 

  11. Freeman, L.C.: A set of measures of centrality based on betweenness. Sociometry 40, 35–41 (1977)

    Article  Google Scholar 

  12. Opsahl, T., Agneessens, F., Skvoretz, J.: Node centrality in weighted networks: Generalizing degree and shortest paths. Soc. Netw. 32(3), 245–251 (2010)

    Article  Google Scholar 

  13. Haythornthwaite, C.: Social network analysis: An approach and technique for the study of information exchange. Lib. Inf. Sci. Res. 18(4), 323–342 (1996)

    Article  Google Scholar 

  14. Wasserman, S.: Social Network Analysis: Methods and Applications, vol. 8. Cambridge university press, Cambridge (1994)

    Book  Google Scholar 

  15. Kautz, H., Selman, B., Shah, M.: Referral Web: combining social networks and collaborative filtering. Commun. ACM 40(3), 63–65 (1997)

    Article  Google Scholar 

  16. Balog, K., De Rijke, M.: Determining expert profiles (With an Application to Expert Finding). In: Ijcai 2007, pp. 2657–2662 (2007)

    Google Scholar 

  17. Zhang, J., Tang, J., Li, J.: Expert finding in a social network. In: Kotagiri, R., Radha Krishna, P., Mohania, M., Nantajeewarawat, E. (eds.) DASFAA 2007. LNCS, vol. 4443, pp. 1066–1069. Springer, Heidelberg (2007)

    Google Scholar 

  18. Kardan, A., Omidvar, A., Farahmandnia, F.: Expert finding on social network with link analysis approach. In: 2011 19th Iranian Conference on Electrical Engineering (ICEE), pp. 1–6. IEEE (2011)

    Google Scholar 

  19. Zhang, J., Ackerman, M.S., Adamic, L.: Expertise networks in online communities: structure and algorithms. In: Proceedings of the 16th International Conference on World Wide Web, pp. 221–230. ACM (2007)

    Google Scholar 

  20. Laumann, E.O., Marsden, P.V., Prensky, D.: The boundary specification problem in network analysis. In: Freeman, L.C., White, D.R., Romney, A.K. (eds.) Research Methods in Social Network Analysis, pp. 61–87. George Mason University Press, Fairfax (1989)

    Google Scholar 

  21. Marsden, P.V.: Recent developments in network measurement. In: Carrington, P.J., Scott, J., Wasserman, S. (eds.) Models and Methods in Social Network Analysis, pp. 8–30. Cambridge University Press, Cambridge (2005)

    Chapter  Google Scholar 

  22. Wasserman, S., Faust, K.: Social Network Analysis. Cambridge University, Cambridge (1994)

    Book  Google Scholar 

  23. Barrat, A., Barthelemy, M., Pastor-Satorras, R., Vespignani, A.: The architecture of complex weighted networks. Proc. Nat. Acad. Sci. U.S.A. 101(11), 3747–3752 (2004)

    Article  Google Scholar 

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Acknowledgment

This research work was partly supported by 973 Project (Grant No. 2012CB316205), National Natural Science Foundation of China (Grant No. 71001103, 91224008, 91324015), Beijing Social Science Fund (No. 13JGB035), Beijing Natural Science Foundation (No. 9122013), Beijing Nova Program (No. Z131101000413058), and Program for Excellent Talents in Beijing.

Author information

Authors and Affiliations

  1. Department of Information Systems, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong

    Wei Du, Jianshan Sun & Jian Ma

  2. School of Information, Renmin University of China, Beijing, China

    Wei Xu

  3. School of Management, University of Science and Technology of China, Hefei, Anhui, China

    Jianshan Sun

Authors
  1. Wei Du
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  2. Wei Xu
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  3. Jianshan Sun
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  4. Jian Ma
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Corresponding author

Correspondence to Wei Xu .

Editor information

Editors and Affiliations

  1. DEKE Lab., Renmin University of China, Beijing, China

    Yueguo Chen

  2. Institute for Information Systems, Technical University Braunschweig, Braunschweig, Germany

    Wolf-Tilo Balke

  3. Hong Kong Baptist University Dept. Computer Science, Kowloon Tong, Hong Kong SAR

    Jianliang Xu

  4. School of Information, Renmin University of China, Beijing, China

    Wei Xu

  5. School of Computer Science and Technology, Hefei, China

    Peiquan Jin

  6. Department of Computer Science, East China Normal University, Shanghai, China

    Xin Lin

  7. Department of Computer Science, Kean University, Wenzhou, China

    Tiffany Tang

  8. School of Electrical Engineering, Korea University, Seoul, Korea, Republic of (South Korea)

    Eenjun Hwang

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© 2014 Springer International Publishing Switzerland

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Du, W., Xu, W., Sun, J., Ma, J. (2014). Online Social Network as a Powerful Tool to Identify Experts for Emergency Management. In: Chen, Y., et al. Web-Age Information Management. WAIM 2014. Lecture Notes in Computer Science(), vol 8597. Springer, Cham. https://doi.org/10.1007/978-3-319-11538-2_15

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  • DOI: https://doi.org/10.1007/978-3-319-11538-2_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11537-5

  • Online ISBN: 978-3-319-11538-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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