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: "how many vote operations are needed to manipulate a voting system"
  Abstract: In this paper, we propose a framework to study a general class of strategic behavior in voting, which we call vote operations. We prove the following theorem: if we fix the number of alternatives, generate $n$ votes i.i.d. according to a distribution $\pi$, and let $n$ go to infinity, then for any $\epsilon >0$, with probability at least $1-\epsilon$, the minimum number of operations that are needed for the strategic individual to achieve her goal falls into one of the following four categories: (1) 0, (2) $\Theta(\sqrt n)$, (3) $\Theta(n)$, and (4) $\infty$. This theorem holds for any set of vote operations, any individual vote distribution $\pi$, and any integer generalized scoring rule, which includes (but is not limited to) almost all commonly studied voting rules, e.g., approval voting, all positional scoring rules (including Borda, plurality, and veto), plurality with runoff, Bucklin, Copeland, maximin, STV, and ranked pairs. #R##N#We also show that many well-studied types of strategic behavior fall under our framework, including (but not limited to) constructive/destructive manipulation, bribery, and control by adding/deleting votes, margin of victory, and minimum manipulation coalition size. Therefore, our main theorem naturally applies to these problems.

Connected through hyperedge HE-1 (induced by source paper "weighted electoral control"):
  with members:
    - "a control dichotomy for pure scoring rules"
    - "possible winners in noisy elections"
    - "control in the presence of manipulators cooperative and competitive cases"
    - "schulze and ranked pairs voting are fixed parameter tractable to bribe manipulate and control"
    - "control complexity in bucklin fallback and plurality voting an experimental approach"
    - "an atypical survey of typical case heuristic algorithms"
    - "new candidates welcome possible winners with respect to the addition of new candidates"
    - "the complexity of manipulative attacks in nearly single peaked electorates"

Connected through hyperedge HE-2 (induced by source paper "a smooth transition from powerlessness to absolute power"):
  with members:
    - "where are the hard manipulation problems"

Connected through hyperedge HE-3 (induced by source paper "normalized range voting broadly resists control"):
  with members:
    - "a smooth transition from powerlessness to absolute power"
    - "complexity of and algorithms for borda manipulation"
    - "bucklin voting is broadly resistant to control"
    - "control complexity in fallback voting"
    - "where are the hard manipulation problems"
    - "the shield that never was societies with single peaked preferences are more open to manipulation and control"
    - "sincere strategy preference based approval voting fully resists constructive control and broadly resists destructive control"
    - "llull and copeland voting computationally resist bribery and control"

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.AI(Artificial Intelligence)