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: "false name manipulations in weighted voting games"
  Abstract: Weighted voting is a classic model of cooperation among agents in decision-making domains. In such games, each player has a weight, and a coalition of players wins the game if its total weight meets or exceeds a given quota. A player's power in such games is usually not directly proportional to his weight, and is measured by a power index, the most prominent among which are the Shapley-Shubik index and the Banzhaf index.#R##N##R##N#In this paper, we investigate by how much a player can change his power, as measured by the Shapley-Shubik index or the Banzhaf index, by means of a false-name manipulation, i.e., splitting his weight among two or more identities. For both indices, we provide upper and lower bounds on the effect of weight-splitting. We then show that checking whether a beneficial split exists is NP-hard, and discuss efficient algorithms for restricted cases of this problem, as well as randomized algorithms for the general case. We also provide an experimental evaluation of these algorithms.#R##N##R##N#Finally, we examine related forms of manipulative behavior, such as annexation, where a player subsumes other players, or merging, where several players unite into one. We characterize the computational complexity of such manipulations and provide limits on their effects. For the Banzhaf index, we describe a new paradox, which we term the Annexation Non-monotonicity Paradox.

Connected through hyperedge HE-1 (induced by source paper "attacking power indices by manipulating player reliability"):
  with members:
    - "h α an index to quantify an individual s scientific leadership"
    - "prestige drives epistemic inequality in the diffusion of scientific ideas"
    - "hiding individuals and communities in a social network"
    - "game theoretic network centrality a review"
    - "cooperative games with bounded dependency degree"
    - "efficient computation of the shapley value for game theoretic network centrality"
    - "solving cooperative reliability games"
    - "cloning in elections finding the possible winners"

Connected through hyperedge HE-2 (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"
    - "how many vote operations are needed to manipulate a voting system"
    - "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"

Connected through hyperedge HE-3 (induced by source paper "false name manipulation in weighted voting games is hard for probabilistic polynomial time"):
  with members:
    - "the computational complexity of random serial dictatorship"
    - "false name manipulations in weighted voting games splitting merging and annexation"
    - "the cost of stability in coalitional games"
    - "the computational complexity of probabilistic planning"
    - "the complexity of planar counting problems"

Connected through hyperedge HE-4 (induced by source paper "sharing rewards in cooperative connectivity games"):
  with members:
    - "solving cooperative reliability games"
    - "the cost of stability in coalitional games"
    - "decentralized control of cooperative systems categorization and complexity analysis"

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)