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 "anyone but him the complexity of precluding an alternative"):
  Abstract: Preference aggregation in a multiagent setting is a central issue in both human and computer contexts. In this paper, we study in terms of complexity the vulnerability of preference aggregation to destructive control. That is, we study the ability of an election's chair to, through such mechanisms as voter/candidate addition/suppression/partition, ensure that a particular candidate (equivalently, alternative) does not win. And we study the extent to which election systems can make it impossible, or computationally costly (NP-complete), for the chair to execute such control. Among the systems we study--plurality, Condorcet, and approval voting--we find cases where systems immune or computationally resistant to a chair choosing the winner nonetheless are vulnerable to the chair blocking a victory. Beyond that, we see that among our studied systems no one system offers the best protection against destructive control. Rather, the choice of a preference aggregation system will depend closely on which types of control one wishes to be protected against. We also find concrete cases where the complexity of or susceptibility to control varies dramatically based on the choice among natural tie-handling rules.

Includes members:
  Member "hybrid elections broaden complexity theoretic resistance to control":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a parameterized perspective on protecting elections")
  Member "a richer understanding of the complexity of election systems":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "computational social choice and computational complexity bffs")
  Member "dichotomy for voting systems":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "the complexity of online bribery in sequential elections")
  Member "how many candidates are needed to make elections hard to manipulate":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "towards computing victory margins in stv elections")
  Member "complexity of manipulating elections with few candidates":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "often harder than in the constructive case destructive bribery in cp nets")
  Member "exact complexity of the winner problem for young elections":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "incomplete preferences in single peaked electorates")
  Member "exact analysis of dodgson elections lewis carroll s 1876 voting system is complete for parallel access to np":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "incomplete preferences in single peaked electorates")

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)