The interaction graph models (partial) knowledge about long-range dependency relations.
Each agent provides a score for its (out- neighboring agents in the interactiout- neighboring
We use structures such as pure random, small-world and scale-free networks as interaction graph.
What you've seen with Polar is that even though there are already a ton of social applications, building a new interaction graph from the ground up is possible.
The protein-protein interaction graph constructed from our ES cell data comprised 2677 nodes (distinct proteins, indicated by gene symbol).
2. Draw the interaction graph.
The Bayes network model is presented an interaction graph.
We first analysed the interaction graph underlying the logical network.
The topology of the interaction graph was treated as fixed.
The interaction graph is depicted in Figure 4 and the notation is detailed in Table 1.
Therefore we eliminated the corresponding edge from the logical interaction graph (see Fig. 1 c).
