human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "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.

Connected through hyperedge HE-1 (induced by source paper "maximum edge colorable subgraph and strong triadic closure parameterized by distance to low degree graphs"):
  with members:
    - "parameterized aspects of strong subgraph closure"
    - "your rugby mates don t need to know your colleagues triadic closure with edge colors"
    - "maximizing the strong triadic closure in split graphs and proper interval graphs"
    - "beyond the vizing s bound for at most seven colors"

Connected through hyperedge HE-2 (induced by source paper "destroying bicolored p_3 s by deleting few edges"):
  with members:
    - "fast quasi threshold editing"
    - "phylogenomics with paralogs"
    - "tight running time lower bounds for vertex deletion problems"

Connected through hyperedge HE-3 (induced by source paper "cluster deletion on interval graphs and split related graphs"):
  with members:
    - "parameterized aspects of strong subgraph closure"
    - "solving partition problems almost always requires pushing many vertices around"

Connected through hyperedge HE-4 (induced by source paper "fixed parameter algorithms for maximum profit facility location under matroid constraints"):
  with members:
    - "inferring the strength of social ties a community driven approach"
    - "parameterized aspects of strong subgraph closure"
    - "deterministic truncation of linear matroids"
    - "approximation algorithms for hard capacitated k facility location problems"
    - "parameterized exact and approximation algorithms for maximum k set cover and related satisfiability problems"
    - "improved approximation algorithms for matroid and knapsack median problems and applications"

Connected through hyperedge HE-5 (induced by source paper "parameterized aspects of strong subgraph closure"):
  with members:
    - "maximizing the strong triadic closure in split graphs and proper interval graphs"
    - "romantic partnerships and the dispersion of social ties a network analysis of relationship status on facebook"
    - "kernelization lower bounds by cross composition"
    - "designing fpt algorithms for cut problems using randomized contractions"
    - "solving max r sat above a tight lower bound"

Connected through hyperedge HE-6 (induced by source paper "your rugby mates don t need to know your colleagues triadic closure with edge colors"):
  with members:
    - "inferring the strength of social ties a community driven approach"
    - "tight lower bounds for list edge coloring"
    - "parameterized aspects of strong subgraph closure"

Question: Please tell me which class the center node 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)