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 "the control complexity of r approval from the single peaked case to the general case"):
  Abstract: We investigate the complexity of $r$-Approval control problems in $k$-peaked elections, where at most $k$ peaks are allowed in each vote with respect to an order of the candidates. We show that most NP-hardness results in general elections also hold in k-peaked elections even for $k=2,3$. On the other hand, we derive polynomial-time algorithms for some problems for $k=2$. All our NP-hardness results apply to Approval and sincere-strategy preference-based Approval as well. Our study leads to many dichotomy results for the problems considered in this paper, with respect to the values of $k$ and $r$. In addition, we study $r$-Approval control problems from the viewpoint of parameterized complexity and achieve both fixed-parameter tractability results and W-hardness results, with respect to the solution size. Along the way exploring the complexity of control problems, we obtain two byproducts which are of independent interest. First, we prove that every graph of maximum degree 3 admits a specific 2-interval representation where every 2-interval corresponding to a vertex contains a trivial interval and, moreover, 2-intervals may only intersect at the endpoints of the intervals. Second, we develop a fixed-parameter tractable algorithm for a generalized $r$-Set Packing problem with respect to the solution size, where each element in the given universal set is allowed to occur in more than one r-subset in the solution.

Includes members:
  Member "computational aspects of nearly single peaked electorates":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "on the complexity of constructive control under nearly single peaked preferences")
  Member "are there any nicely structured preference profiles nearby":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "incomplete preferences in single peaked electorates")
  Member "facility location with double peaked preference":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "average case analysis of the assignment problem with independent preferences")
  Member "election attacks with few candidates":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "on the complexity of destructive bribery in approval based multi winner voting")
  Member "kernelization complexity of possible winner and coalitional manipulation problems in voting":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "manipulating districts to win elections fine grained complexity")
  Member "computational aspects of multi winner approval voting":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "evaluating approval based multiwinner voting in terms of robustness to noise")
  Member "the complexity of fully proportional representation for single crossing electorates":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "on the complexity of constructive control under nearly single peaked preferences")
  Member "the complexity of manipulative attacks in nearly single peaked electorates":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "on the complexity of constructive control under nearly single peaked preferences")

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.GT(Computer Science and Game Theory)