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Fig. 1 | Applied Network Science

Fig. 1

From: JANUS: A hypothesis-driven Bayesian approach for understanding edge formation in attributed multigraphs

Fig. 1

Example: This example illustrates an unweighted attributed multigraph. a Shows a multigraph where nodes represent academic researchers, and edges scientific articles in which they have collaborated together. b Shows the adjacency matrix of the graph, where every cell represents the total number of edges between two nodes. c Decodes some attribute values per node. For instance, node D shows information about an Austrian researcher who started his academic career in 2001. One main objective of JANUS is to compare the plausibility of mechanisms derived from attributes for explaining the formation of edges in the graph. For example, here, a hypothesis that researchers have more collaborations if they are from the same country might be more plausible than one that postulates that the multiplicity of edges can be explained based on the relative popularity of authors

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