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 "on the relation of strong triadic closure and cluster deletion"):
  Abstract: We study the parameterized and classical complexity of two related problems on undirected graphs $G=(V,E)$. In Strong Triadic Closure we aim to label the edges in $E$ as strong and weak such that at most~$k$ edges are weak and $G$ contains no induced $P_3$ with two strong edges. In Cluster Deletion, we aim to destroy all induced $P_3$s by a minimum number of edge deletions. We first show that Strong Triadic Closure admits a $4k$-vertex kernel. Then, we study parameterization by $\ell:=|E|-k$ and show that both problems are fixed-parameter tractable and unlikely to admit a polynomial kernel with respect to $\ell$. Finally, we give a dichotomy of the classical complexity of both problems on $H$-free graphs for all $H$ of order four.

Includes members:
  Member "inferring the strength of social ties a community driven approach":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "fixed parameter algorithms for maximum profit facility location under matroid constraints")
  Member "fixed parameter algorithms for maximum profit facility location under matroid constraints":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "the computational complexity of finding temporal paths under waiting time constraints")
  Member "parameterized aspects of strong subgraph closure":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "maximum edge colorable subgraph and strong triadic closure parameterized by distance to low degree graphs")
  Member "your rugby mates don t need to know your colleagues triadic closure with edge colors":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "maximum edge colorable subgraph and strong triadic closure parameterized by distance to low degree graphs")
  Member "maximizing the strong triadic closure in split graphs and proper interval graphs":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "maximum edge colorable subgraph and strong triadic closure parameterized by distance to low degree graphs")
  Member "kernelization lower bounds by cross composition":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "subexponential parameterized algorithms and kernelization on almost chordal graphs")

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)