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. © Springer-Verlag Berlin Heidelberg 2010.
CITATION STYLE
Zhao, K., Ngamassi, L. M., Yen, J., Maitland, C., & Tapia, A. (2010). Assortativity patterns in multi-dimensional inter-organizational networks: A case study of the humanitarian relief sector. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6007 LNCS, pp. 265–272). https://doi.org/10.1007/978-3-642-12079-4_33
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