Conference proceeding
Assortativity Patterns in Multi-dimensional Inter-organizational Networks: A Case Study of the Humanitarian Relief Sector
ADVANCES IN SOCIAL COMPUTING, PROCEEDINGS, Vol.6007, pp.265-272
Lecture Notes in Computer Science
01/01/2010
DOI: 10.1007/978-3-642-12079-4_33
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 riot 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.
Details
- Title: Subtitle
- Assortativity Patterns in Multi-dimensional Inter-organizational Networks: A Case Study of the Humanitarian Relief Sector
- Creators
- Kang Zhao - Pennsylvania State UniversityLouis-Marie Ngamassi - Pennsylvania State UniversityJohn Yen - Pennsylvania State UniversityCarleen Maitland - Pennsylvania State UniversityAndrea Tapia - Pennsylvania State University
- Contributors
- S K Chai (Editor)J J Salerno (Editor)P L Mabry (Editor)
- Resource Type
- Conference proceeding
- Publication Details
- ADVANCES IN SOCIAL COMPUTING, PROCEEDINGS, Vol.6007, pp.265-272
- Publisher
- Springer Nature
- Series
- Lecture Notes in Computer Science
- DOI
- 10.1007/978-3-642-12079-4_33
- ISSN
- 0302-9743
- eISSN
- 1611-3349
- Number of pages
- 8
- Language
- English
- Date published
- 01/01/2010
- Academic Unit
- Business Analytics
- Record Identifier
- 9984380437302771
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