human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "new algorithms for weighted k domination and total k domination problems in proper interval graphs"):
  Abstract: Given a positive integer $k$, a $k$-dominating set in a graph $G$ is a set of vertices such that every vertex not in the set has at least $k$ neighbors in the set. A total $k$-dominating set, also known as a $k$-tuple total dominating set, is a set of vertices such that every vertex of the graph has at least $k$ neighbors in the set. The problems of finding the minimum size of a $k$-dominating, resp. total $k$-dominating set, in a given graph, are referred to as $k$-domination, resp. total $k$-domination. These generalizations of the classical domination and total domination problems are known to be NP-hard in the class of chordal graphs, and, more specifically, even in the classes of split graphs (both problems) and undirected path graphs (in the case of total $k$-domination). On the other hand, it follows from recent work by Kang et al. (2017) that these two families of problems are solvable in time $\mathcal{O}(|V(G)|^{6k+4})$ in the class of interval graphs. In this work, we develop faster algorithms for $k$-domination and total $k$-domination in the class of proper interval graphs. The algorithms run in time $\mathcal{O}(|V(G)|^{3k})$ for each fixed $k\ge 1$ and are also applicable to the weighted case.

Includes members:
  Member "complexity results for k domination and α domination problems and their variants":
    also connected through other hyperedges:
      (none)
  Member "a width parameter useful for chordal and co comparability graphs":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "on the thinness and proper thinness of a graph")
  Member "latency bounded target set selection in social networks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "time bounded influence diffusion with incentives")
  Member "the parameterized complexity of domination type problems and application to linear codes":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "not all equal and 1 in degree decompositions algorithmic complexity and applications")
  Member "total vector domination for graphs with bounded branchwidth":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "complexity results for k domination and α domination problems and their variants")
  Member "on the approximability and exact algorithms for vector domination and related problems in graphs":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "complexity results for k domination and α domination problems and their variants")

Question: Please tell me which class the source paper belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.DS(Data Structures and Algorithms)