Title
Computational Complexity of Competitive Diffusion on (Un)weighted Graphs.
Abstract
Consider an undirected graph modeling a social network, where the vertices represent users, and the edges do connections among them. In the competitive diffusion game, each of a number of players chooses a vertex as a seed to propagate his/her opinion, and then it spreads along the edges in the graphs. The objective of every player is to maximize the number of vertices the opinion infects. In this paper, we investigate a computational problem of asking whether a pure Nash equilibrium exists in the competitive diffusion game on unweighed and weighted graphs, and present several negative and positive results. We first prove that the problem is W[1]-hard when parameterized by the number of players even for unweighted graphs. We also show that the problem is NP-hard even for series-parallel graphs with positive integer weights, and is NP-hard even for forests with arbitrary integer weights. Furthermore, we show that the problem for forest of paths with arbitrary weights is solvable in pseudo-polynomial time; and it is solvable in quadratic time if a given graph is unweighted. We also prove that the problem for chain, cochain, and threshold graphs with arbitrary integer weights is solvable in polynomial time.
Year
Venue
Field
2014
CoRR
Discrete mathematics,Parameterized complexity,Indifference graph,Computational problem,Combinatorics,Vertex (geometry),Chordal graph,Longest path problem,Metric dimension,Mathematics,Computational complexity theory
DocType
Volume
Citations 
Journal
abs/1412.3334
0
PageRank 
References 
Authors
0.34
7
9
Name
Order
Citations
PageRank
Takehiro Ito126040.71
Yota Otachi216137.16
Toshiki Saitoh38714.95
Hisayuki Satoh410.70
Akira Suzuki511.38
Kei Uchizawa67412.89
Ryuhei Uehara752875.38
Katsuhisa Yamanaka86015.73
Xiao Zhou932543.69