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 "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.

Includes members:
  Member "campaign management under approval driven voting rules":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "approximation and hardness of shift bribery")
  Member "determining possible and necessary winners under common voting rules given partial orders":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "the complexity of possible winners on partial chains")
  Member "taking the final step to a full dichotomy of the possible winner problem in pure scoring rules":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "the complexity of possible winners on partial chains")
  Member "clone structures in voters preferences":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "incomplete preferences in single peaked electorates")
  Member "multimode control attacks on elections":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "on the complexity of constructive control under nearly single peaked preferences")
  Member "towards a dichotomy for the possible winner problem in elections based on scoring rules":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "the complexity of possible winners on partial chains")
  Member "approximation algorithms for campaign management":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "optimal bribery in voting")
  Member "multivariate complexity analysis of swap bribery":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "optimal bribery in voting")

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)