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: "parameterized aspects of strong subgraph closure"
  Abstract: Motivated by the role of triadic closures in social networks, and the importance of finding a maximum subgraph avoiding a fixed pattern, we introduce and initiate the parameterized study of the Strong F-closure problem, where F is a fixed graph. This is a generalization of Strong Triadic Closure, whereas it is a relaxation of F-free Edge Deletion. In Strong F-closure, we want to select a maximum number of edges of the input graph G, and mark them as strong edges, in the following way: whenever a subset of the strong edges forms a subgraph isomorphic to F, then the corresponding induced subgraph of G is not isomorphic to F. Hence the subgraph of G defined by the strong edges is not necessarily F-free, but whenever it contains a copy of F, there are additional edges in G to destroy that strong copy of F in G. #R##N#We study Strong F-closure from a parameterized perspective with various natural parameterizations. Our main focus is on the number k of strong edges as the parameter. We show that the problem is FPT with this parameterization for every fixed graph F, whereas it does not admit a polynomial kernel even when F =P_3. In fact, this latter case is equivalent to the Strong Triadic Closure problem, which motivates us to study this problem on input graphs belonging to well known graph classes. We show that Strong Triadic Closure does not admit a polynomial kernel even when the input graph is a split graph, whereas it admits a polynomial kernel when the input graph is planar, and even d-degenerate. Furthermore, on graphs of maximum degree at most 4, we show that Strong Triadic Closure is FPT with the above guarantee parameterization k - \mu(G), where \mu(G) is the maximum matching size of G. We conclude with some results on the parameterization of Strong F-closure by the number of edges of G that are not selected as strong.

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:
    - "on the relation of strong triadic closure and cluster deletion"
    - "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 "cluster deletion on interval graphs and split related graphs"):
  with members:
    - "on the relation of strong triadic closure and cluster deletion"
    - "solving partition problems almost always requires pushing many vertices around"

Connected through hyperedge HE-3 (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"
    - "on the relation of strong triadic closure and cluster deletion"
    - "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-4 (induced by source paper "on the relation of strong triadic closure and cluster deletion"):
  with members:
    - "inferring the strength of social ties a community driven approach"
    - "fixed parameter algorithms for maximum profit facility location under matroid constraints"
    - "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"
    - "kernelization lower bounds by cross composition"

Connected through hyperedge HE-5 (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"
    - "on the relation of strong triadic closure and cluster deletion"

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)