Assortativity Patterns in Multi-dimensional Inter-organizational Networks: A Case Study of the Humanitarian Relief Sector

  • Kang Zhao
  • Louis-Marie Ngamassi
  • John Yen
  • Carleen Maitland
  • Andrea Tapia
Conference paper

DOI: 10.1007/978-3-642-12079-4_33

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6007)
Cite this paper as:
Zhao K., Ngamassi LM., Yen J., Maitland C., Tapia A. (2010) Assortativity Patterns in Multi-dimensional Inter-organizational Networks: A Case Study of the Humanitarian Relief Sector. In: Chai SK., Salerno J.J., Mabry P.L. (eds) Advances in Social Computing. SBP 2010. Lecture Notes in Computer Science, vol 6007. Springer, Berlin, Heidelberg

Abstract

We use computational tools to study assortativity patterns in multi-dimensional inter-organizational networks on the basis of different node attributes. In the case study of an inter-organizational network in the humanitarian relief sector, we consider not only macro-level topological patterns, but also assortativity on the basis of micro-level organizational attributes. Unlike assortative social networks, this inter-organizational network exhibits disassortative or random patterns on three node attributes. We believe organizations’ seek of complementarity is one of the main reasons for the special patterns. Our analysis also provides insights on how to promote collaborations among the humanitarian relief organizations.

Keywords

Assortativity multi-dimensional inter-organizational network network analysis humanitarian relief 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Kang Zhao
    • 1
  • Louis-Marie Ngamassi
    • 1
  • John Yen
    • 1
  • Carleen Maitland
    • 1
  • Andrea Tapia
    • 1
  1. 1.College of Information Sciences and TechnologyThe Pennsylvania State UniversityUniversity ParkUSA

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