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: "complexity of control behaviors in k peaked elections for a variant of approval voting"
  Abstract: Single-peaked elections have been attracting much attention recently. It turned out that many NP-hard voting problems become polynomial-time solvable when restricted to single-peaked elections. A natural generalization of the single-peaked elections is the k-peaked elections, where at most k peaks are allowed in each vote in the election. In this paper, we mainly aim at establishing a complexity dichotomy of controlling behaviors of a variant of the sincere-strategy preference-based approval voting in k-peaked elections for different values of k. It turns out that most NP-hardness results in the general case also hold in k-peaked elections, even for k=2,3. On the other hand, we derive polynomial-time algorithms for certain sincere-strategy preference-based approval voting control problems for k=2. In addition, we also study the sincere-strategy preference-based approval control problems from the viewpoint of parameterized complexity and prove some FPT and W-hardness results.

Connected through hyperedge HE-1 (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"
    - "approximating the maxcover problem with bounded frequencies in fpt time"
    - "computing socially efficient cake divisions"
    - "confronting intractability via parameters"

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.GT(Computer Science and Game Theory)