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As third contribution, we add a third layer given by the spatial proximity, obtaining a denser graph than on-phone communication graphs and we find that people communicating by phone are more likely to be in spatial proximity w.r.t.
The interactions between physical and communication graphs are the focus of this paper.
As shown in Table 3, the difference between social and communication graphs is substantial.
Specifically, for the cases of undirected communication graphs and directed communication graphs among the followers, both the situations of relative state measurement and relative output measurement among neighboring agents are considered.
Except these connectivity properties, full knowledge of the sensing and communication graphs is not needed at the design time.
In this paper design methods are given for synchronization control of discrete-time multi-agent systems on directed communication graphs.
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We assume that nodes communicate with their one-hop neighbors as dictated by the communication graph G V, E), where V is the set of vertices and E is the set of edges of the graph.
Now consider a communication graph G.
The directed communication graph needs to contain a spanning tree.
In the communication graph, the PU and SU transceivers are represented as the vertices, while communication links between radio transceivers are represented by communication graph edges.
The interactions between the distributed generation sources are governed by a communication graph.
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