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: "confronting intractability via parameters"
  Abstract: One approach to confronting computational hardness is to try to understand the contribution of various parameters to the running time of algorithms and the complexity of computational tasks. Almost no computational tasks in real life are specified by their size alone. It is not hard to imagine that some parameters contribute more intractability than others and it seems reasonable to develop a theory of computational complexity which seeks to exploit this fact. Such a theory should be able to address the needs of practicioners in algorithmics. The last twenty years have seen the development of such a theory. This theory has a large number of successes in terms of a rich collection of algorithmic techniques both practical and theoretical, and a fine-grained intractability theory. Whilst the theory has been widely used in a number of areas of applications including computational biology, linguistics, VLSI design, learning theory and many others, knowledge of the area is highly varied. We hope that this article will show both the basic theory and point at the wide array of techniques available. Naturally the treatment is condensed, and the reader who wants more should go to the texts, Downey and Fellows, Flum and Grohe, Niedermeier, and the upcoming undergraduate text Downey and Fellows.

Connected through hyperedge HE-1 (induced by source paper "parameterized fine grained reductions"):
  with members:
    - "an equivalence class for orthogonal vectors"
    - "multivariate fine grained complexity of longest common subsequence"
    - "more consequences of falsifying seth and the orthogonal vectors conjecture"
    - "tighter connections between formula sat and shaving logs"
    - "the orthogonal vectors conjecture for branching programs and formulas"
    - "simulating branching programs with edit distance and friends or a polylog shaved is a lower bound made"
    - "approximation and fixed parameter subquadratic algorithms for radius and diameter"
    - "polynomial fixed parameter algorithms a case study for longest path on interval graphs"

Connected through hyperedge HE-2 (induced by source paper "target set selection parameterized by clique width and maximum threshold"):
  with members:
    - "target set selection in dense graph classes"
    - "latency bounded target set selection in social networks"
    - "parameterized inapproximability of target set selection and generalizations"
    - "parameterized algorithms for modular width"

Connected through hyperedge HE-3 (induced by source paper "parameterized algorithmics for computational social choice nine research challenges"):
  with members:
    - "computational aspects of nearly single peaked electorates"
    - "prices matter for the parameterized complexity of shift bribery"
    - "are there any nicely structured preference profiles nearby"
    - "campaign management under approval driven voting rules"
    - "the control complexity of r approval from the single peaked case to the general case"
    - "complexity of control behaviors in k peaked elections for a variant of approval voting"
    - "approximating the maxcover problem with bounded frequencies in fpt time"
    - "computing socially efficient cake divisions"

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.CC(Computational Complexity)