2-CLUB is NP-hard for distance to 2-club cluster graphs
Mithilesh Kumar

TL;DR
This paper proves that determining the 2-CLUB problem remains NP-hard even when restricted to graphs close to 2-club cluster graphs, highlighting computational complexity challenges.
Contribution
It establishes the NP-hardness of 2-CLUB for graphs with small distance to 2-club cluster graphs, a previously unknown complexity result.
Findings
2-CLUB is NP-hard for graphs close to 2-club cluster graphs
Complexity persists even with structural graph restrictions
Highlights computational difficulty in specialized graph classes
Abstract
We show that 2-CLUB is NP-hard for distance to 2-club cluster graphs.
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Taxonomy
TopicsAdvanced Graph Theory Research · Caching and Content Delivery · Complexity and Algorithms in Graphs
11institutetext: Simula@UiB
Norway
11email: [email protected]
-CLUB is NP-hard for distance to -club cluster graphs
Mithilesh Kumar
Abstract
We show that -CLUB is NP-hard for distance to -club cluster graphs.
1 Introduction
A complete graph or clique is a graph that contains an edge for every pair of distinct vertices. Diameter of a graph is the length of a longest shortest path in the graph. Any clique has diameter . A generalization of this notion is -club, a graph of diameter . In general graphs, finding a set of vertices that induces a subgraph of diameter is NP-hard. For , Hartung et al [HKN13] have studied the problem with many structral restrictions on the input graph. This paper answers one of the open problems mentioned in [HKN13].
Given a class of graphs with some property , we can define another class of graphs by the parameter distance to , namely the number of vertices that needs to be deleted from the graph to make the resultant graph have property . For example, distance to bipartiteness defines a class of graphs that become bipartite after deleting at most vectices. A graph where each connected component is an -club is called -club cluster graph. In this paper, we show that finding -club in distance to -club cluster graphs is NP-hard for .
2 Constant Distance to 2-club cluster
We define the -CLUB problem as follows: Given an undirected graph and , is there a vertex set of size at least such that has diameter at most ?
Theorem 2.1
2-CLUB is NP-hard even on graphs with distance two to -club cluster.
Proof
We reduce from the NP-hard CLIQUE problem: Given a positive integer and a graph , the question is whether there is a clique of size at least .
Given an instance of CLIQUE, we construct an undirected graph .
Let . Define the vertex set
[TABLE]
where are vertices and are sets of vertices with sizes and . For every vertex , we lebel vertices of as . The edge set is defined as
[TABLE]
Note that all the edges are undirected. See Figure below.
Claim
has a clique of size if and only if has a 2-club of size .
Proof
Let be a clique of size in . Then, is a 2-club of size .
Let be a -club of size in .
By size consideration . If , then none of and can be in . Consequently, the size of any -club in can be . Hence, we must have that . By similar reasoning, we have that .
If , then the size of the largest 2-club can be at most implying that must intersect with . Moreover, must be a multiple of as for contained in , the whole subset can be included in preserving the -club property. If , then size of the maximum 2-club can be at most , the size of which is less than . Hence at least vertices in have neighbors in . This also implies that forms a clique in . If are not adjacent and have neighbors . Then, there is no path of length between and . Hence, has a clique of size .
Acknowledgements
I am grateful for the fruitful discussions with Daniel Lokshtanov and Markus Dregi.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[HKN 13] Sepp Hartung, Christian Komusiewicz, and André Nichterlein. On structural parameterizations for the 2-club problem. In SOFSEM 2013: Theory and Practice of Computer Science, 39th International Conference on Current Trends in Theory and Practice of Computer Science, Špindlerův Mlýn, Czech Republic, January 26-31, 2013. Proceedings , pages 233–243, 2013.
