Hierarchical cycle-tree packing model for $K$-core attack problem
- URL: http://arxiv.org/abs/2303.01007v2
- Date: Sat, 9 Dec 2023 07:16:48 GMT
- Title: Hierarchical cycle-tree packing model for $K$-core attack problem
- Authors: Jianwen Zhou, Hai-Jun Zhou
- Abstract summary: A hierarchical cycle-tree packing model is introduced here for this challenging optimization problem.
We analyze this model through the replica-symmetric cavity method of statistical physics.
The associated hierarchical cycle-tree guided attack (tt hCTGA) is able to construct nearly optimal attack solutions for regular random graphs.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: The $K$-core of a graph is the unique maximum subgraph within which each
vertex connects to $K$ or more other vertices. The optimal $K$-core attack
problem asks to delete the minimum number of vertices from the $K$-core to
induce its complete collapse. A hierarchical cycle-tree packing model is
introduced here for this challenging combinatorial optimization problem. We
convert the temporally long-range correlated $K$-core pruning dynamics into
locally tree-like static patterns and analyze this model through the
replica-symmetric cavity method of statistical physics. A set of coarse-grained
belief propagation equations are derived to predict single vertex marginal
probabilities efficiently. The associated hierarchical cycle-tree guided attack
({\tt hCTGA}) algorithm is able to construct nearly optimal attack solutions
for regular random graphs and Erd\"os-R\'enyi random graphs. Our cycle-tree
packing model may also be helpful for constructing optimal initial conditions
for other irreversible dynamical processes on sparse random graphs.
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