T. J. Jankun-Kelly, T. Dwyer, D. Holten, C. Hurter, M. Nöllenburg, C. Weaver, and K. Xu, “Scalability Considerations for Multivariate Graph Visualization,” in Multivariate Network Visualization, A. Kerren, H. C. Purchase, and M. O. Ward, Eds. Springer International Publishing, 2014, pp. 207–235. PDF.
Multivariate network is a quite challenging problem: it involves both the network structure and the attributes of the nodes and edges. Think of a social network: you have people as the nodes and their relationships as edges; there are information about the people (age, gender, profession) and their relationships (friends/colleague, when it started, etc). Considering both will provide a deeper look into the social network, but makes the visualisation more difficult at the same time. This book chapter mainly surveys human performance related issues to this type of visualisation. This is an example of my previous work on this topic:
Human-AI Teaming 
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