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Towards an Intelligent Application of Large Scale Community Detection to Support Collaboration During Emergency Management

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Information Systems for Crisis Response and Management in Mediterranean Countries (ISCRAM-med 2015)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 233))

Abstract

During crisis situations, people often use social media to seek for help and to find new collaborators who can help them in emergency management. In this context, we propose an intelligent application to find and recommend potential and relevant collaborators through social media. This application is based on a large scale contextualized community detection to compose dynamic groups. To do so, we propose to reuse a new community detection algorithm that considers simultaneously the network structure (social connections) and profiles homophily (similarities). An application of the proposed solution and a comparison with another community detection algorithm evaluates its performance.

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Author information

Authors and Affiliations

  1. RIADI Laboratory, National School of Computer Sciences, University of Manouba, Manouba, Tunisia

    Wala Rebhi, Nesrine Ben Yahia & Narjès Bellamine Ben Saoud

  2. Higher Institute of Computer Sciences, University of Tunis El Manar, Tunis, Tunisia

    Narjès Bellamine Ben Saoud

Authors
  1. Wala Rebhi
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  2. Nesrine Ben Yahia
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  3. Narjès Bellamine Ben Saoud
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Corresponding author

Correspondence to Wala Rebhi .

Editor information

Editors and Affiliations

  1. University of Tunis El Manar, Institut Supérieur d’Informatique, Tunis, Tunisia

    Narjès Bellamine Ben Saoud

  2. Grenoble Informatics Laboratory, Université Grenoble-Alpes, Saint-Martin-d'Hères, France

    Carole Adam

  3. University of Toulouse 1, Toulouse, France

    Chihab Hanachi

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© 2015 Springer International Publishing Switzerland

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Rebhi, W., Ben Yahia, N., Ben Saoud, N.B. (2015). Towards an Intelligent Application of Large Scale Community Detection to Support Collaboration During Emergency Management. In: Bellamine Ben Saoud, N., Adam, C., Hanachi, C. (eds) Information Systems for Crisis Response and Management in Mediterranean Countries. ISCRAM-med 2015. Lecture Notes in Business Information Processing, vol 233. Springer, Cham. https://doi.org/10.1007/978-3-319-24399-3_4

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  • DOI: https://doi.org/10.1007/978-3-319-24399-3_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24398-6

  • Online ISBN: 978-3-319-24399-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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