DocumentCode :
3610336
Title :
The Strategic Formation of Multi-Layer Networks
Author :
Shahrivar, Ebrahim Moradi ; Sundaram, Shreyas
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON, Canada
Volume :
2
Issue :
4
fYear :
2015
Firstpage :
164
Lastpage :
178
Abstract :
We study the strategic formation of multi-layer networks, where each layer represents a different type of relationship between the nodes in the network and is designed to maximize some utility that depends on the topology of that layer and those of the other layers. We start by generalizing distance-based network formation to the two-layer setting, where edges are constructed in one layer (with fixed cost per edge) to minimize distances between nodes that are neighbors in another layer. We show that designing an optimal network in this setting is NP-hard. Despite the underlying complexity of the problem, we characterize certain properties of the optimal networks. We then formulate a multi-layer network formation game where each layer corresponds to a player that is optimally choosing its edge set in response to the edge sets of the other players. We consider utility functions that view the different layers as strategic substitutes. By applying our results about optimal networks, we show that players with low edge costs drive players with high edge costs out of the game, and that hub-and-spoke networks that are commonly observed in transportation systems arise as Nash equilibria in this game.
Keywords :
complex networks; computational complexity; game theory; graph theory; network theory (graphs); set theory; NP-hard problem; Nash equilibria; distance-based network formation; edge sets; high-edge costs; hub-and-spoke networks; layer topology; low-edge costs; multilayer network formation game; network edges; network nodes; optimal network; optimal networks; strategic formation; transportation systems; utility functions; Cities and towns; Communication networks; Complexity theory; Game theory; Multi-layer networks; Nash equilibrium; Social network services; Best Response Network; Game Theory; Multi-layer Network Formation; Multi-layer network formation; NP-hardness; Nash Equilibrium; Nash equilibrium; Transportation Networks; best response network; game theory; transportation networks;
fLanguage :
English
Journal_Title :
Network Science and Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
2327-4697
Type :
jour
DOI :
10.1109/TNSE.2015.2500162
Filename :
7328295
Link To Document :
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