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: "cloning in elections finding the possible winners"
  Abstract: We consider the problem of manipulating elections by cloning candidates. In our model, a manipulator can replace each candidate c by several clones, i.e., new candidates that are so similar to c that each voter simply replaces c in his vote with a block of these new candidates, ranked consecutively. The outcome of the resulting election may then depend on the number of clones as well as on how each voter orders the clones within the block. We formalize what it means for a cloning manipulation to be successful (which turns out to be a surprisingly delicate issue), and, for a number of common voting rules, characterize the preference profiles for which a successful cloning manipulation exists. We also consider the model where there is a cost associated with producing each clone, and study the complexity of finding a minimum-cost cloning manipulation. Finally, we compare cloning with two related problems: the problem of control by adding candidates and the problem of possible (co)winners when new alternatives can join.

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"
    - "false name manipulations in weighted voting games"

Connected through hyperedge HE-2 (induced by source paper "what do multiwinner voting rules do an experiment over the two dimensional euclidean domain"):
  with members:
    - "committee scoring rules axiomatic characterization and hierarchy"
    - "consistent approval based multi winner rules"
    - "properties of multiwinner voting rules"
    - "finding a collective set of items from proportional multirepresentation to group recommendation"
    - "on the computation of fully proportional representation"

Connected through hyperedge HE-3 (induced by source paper "distributed monitoring of election winners"):
  with members:
    - "comparing election methods where each voter ranks only few candidates"
    - "optimal random sampling from distributed streams revisited"
    - "proportional representation in vote streams"
    - "optimizing positional scoring rules for rank aggregation"
    - "fishing out winners from vote streams"
    - "estimating the margin of victory of an election using sampling"
    - "sample complexity for winner prediction in elections"
    - "crowdsourcing for participatory democracies efficient elicitation of social choice functions"

Connected through hyperedge HE-4 (induced by source paper "possible winners in noisy elections"):
  with members:
    - "weighted electoral control"
    - "search versus decision for election manipulation problems"
    - "control complexity in bucklin fallback and plurality voting an experimental approach"
    - "fully proportional representation as resource allocation approximability results"
    - "the complexity of manipulative attacks in nearly single peaked electorates"
    - "determining possible and necessary winners under common voting rules given partial orders"
    - "multimode control attacks on elections"
    - "control complexity in fallback voting"

Connected through hyperedge HE-5 (induced by source paper "solving hard control problems in voting systems via integer programming"):
  with members:
    - "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"
    - "multimode control attacks on elections"
    - "is computational complexity a barrier to manipulation"
    - "anyone but him the complexity of precluding an alternative"

Connected through hyperedge HE-6 (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-7 (induced by source paper "exact algorithms for weighted and unweighted borda manipulation problems"):
  with members:
    - "the complexity of manipulative attacks in nearly single peaked electorates"
    - "complexity of and algorithms for borda manipulation"
    - "multivariate complexity analysis of swap bribery"
    - "the shield that never was societies with single peaked preferences are more open to manipulation and control"

Connected through hyperedge HE-8 (induced by source paper "new results on equilibria in strategic candidacy"):
  with members:
    - "new candidates welcome possible winners with respect to the addition of new candidates"
    - "multimode control attacks on elections"
    - "anyone but him the complexity of precluding an alternative"

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)