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: "complexity of and algorithms for borda manipulation"
  Abstract: We prove that it is NP-hard for a coalition of two manipulators to compute how to manipulate the Borda voting rule. This resolves one of the last open problems in the computational complexity of manipulating common voting rules. Because of this NP-hardness, we treat computing a manipulation as an approximation problem where we try to minimize the number of manipulators. Based on ideas from bin packing and multiprocessor scheduling, we propose two new approximation methods to compute manipulations of the Borda rule. Experiments show that these methods significantly outperform the previous best known %existing approximation method. We are able to find optimal manipulations in almost all the randomly generated elections tested. Our results suggest that, whilst computing a manipulation of the Borda rule by a coalition is NP-hard, computational complexity may provide only a weak barrier against manipulation in practice.

Connected through hyperedge HE-1 (induced by source paper "the complexity of possible winners on partial chains"):
  with members:
    - "computational social choice meets databases"
    - "the complexity of the possible winner problem over partitioned preferences"
    - "on the exact amount of missing information that makes finding possible winners hard"
    - "complexity of manipulation with partial information in voting"
    - "riffled independence for efficient inference with partial rankings"
    - "determining possible and necessary winners under common voting rules given partial orders"
    - "taking the final step to a full dichotomy of the possible winner problem in pure scoring rules"
    - "towards a dichotomy for the possible winner problem in elections based on scoring rules"

Connected through hyperedge HE-2 (induced by source paper "byzantine preferential voting"):
  with members:
    - "byzantine vector consensus in complete graphs"

Connected through hyperedge HE-3 (induced by source paper "new approximations for coalitional manipulation in general scoring rules"):
  with members:
    - "santa claus schedules jobs on unrelated machines"
    - "dichotomy for voting systems"

Connected through hyperedge HE-4 (induced by source paper "complexity of manipulation with partial information in voting"):
  with members:
    - "manipulative elicitation a new attack on elections with incomplete preferences"
    - "on the exact amount of missing information that makes finding possible winners hard"
    - "complexity of manipulation in elections with partial votes"
    - "frugal bribery in voting"
    - "detecting possible manipulators in elections"
    - "kernelization complexity of possible winner and coalitional manipulation problems in voting"
    - "the computational impact of partial votes on strategic voting"
    - "possible and necessary winner problem in social polls"

Connected through hyperedge HE-5 (induced by source paper "high multiplicity election problems"):
  with members:
    - "the complexity of succinct elections"
    - "complexity dichotomies for unweighted scoring rules"
    - "a control dichotomy for pure scoring rules"
    - "polynomiality for bin packing with a constant number of item types"
    - "weighted electoral control"
    - "the complexity of online manipulation of sequential elections"
    - "towards a dichotomy for the possible winner problem in elections based on scoring rules"
    - "the shield that never was societies with single peaked preferences are more open to manipulation and control"

Connected through hyperedge HE-6 (induced by source paper "complexity dichotomies for unweighted scoring rules"):
  with members:
    - "a control dichotomy for pure scoring rules"
    - "weighted electoral control"
    - "control complexity in bucklin fallback and plurality voting an experimental approach"
    - "taking the final step to a full dichotomy of the possible winner problem in pure scoring rules"
    - "where are the hard manipulation problems"
    - "towards a dichotomy of finding possible winners in elections based on scoring rules"
    - "how hard is bribery in elections"

Connected through hyperedge HE-7 (induced by source paper "empirical evaluation of real world tournaments"):
  with members:
    - "who can win a single elimination tournament"
    - "achieving fully proportional representation is easy in practice"

Connected through hyperedge HE-8 (induced by source paper "frugal bribery in voting"):
  with members:
    - "complexity of manipulation with partial information in voting"
    - "on the hardness of bribery variants in voting with cp nets"
    - "prices matter for the parameterized complexity of shift bribery"
    - "campaign management under approval driven voting rules"
    - "kernelization complexity of possible winner and coalitional manipulation problems in voting"
    - "complexity of manipulation bribery and campaign management in bucklin and fallback voting"
    - "dominating manipulations in voting with partial information"
    - "multimode control attacks on elections"

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)