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: "anyone but him the complexity of precluding an alternative"
  Abstract: Preference aggregation in a multiagent setting is a central issue in both human and computer contexts. In this paper, we study in terms of complexity the vulnerability of preference aggregation to destructive control. That is, we study the ability of an election's chair to, through such mechanisms as voter/candidate addition/suppression/partition, ensure that a particular candidate (equivalently, alternative) does not win. And we study the extent to which election systems can make it impossible, or computationally costly (NP-complete), for the chair to execute such control. Among the systems we study--plurality, Condorcet, and approval voting--we find cases where systems immune or computationally resistant to a chair choosing the winner nonetheless are vulnerable to the chair blocking a victory. Beyond that, we see that among our studied systems no one system offers the best protection against destructive control. Rather, the choice of a preference aggregation system will depend closely on which types of control one wishes to be protected against. We also find concrete cases where the complexity of or susceptibility to control varies dramatically based on the choice among natural tie-handling rules.

Connected through hyperedge HE-1 (induced by source paper "selecting voting locations for fun and profit"):
  with members:
    - "a partisan districting protocol with provably nonpartisan outcomes"
    - "network based vertex dissolution"
    - "on voting and facility location"
    - "more natural models of electoral control by partition"
    - "combinatorial voter control in elections"
    - "weighted electoral control"
    - "how hard is bribery in elections"

Connected through hyperedge HE-2 (induced by source paper "manipulating districts to win elections fine grained complexity"):
  with members:
    - "complexity of manipulation with partial information in voting"
    - "optimal parameterized algorithms for planar facility location problems using voronoi diagrams"
    - "kernelization complexity of possible winner and coalitional manipulation problems in voting"
    - "the complexity of manipulative attacks in nearly single peaked electorates"

Connected through hyperedge HE-3 (induced by source paper "manipulating elections by selecting issues"):
  with members:
    - "hotelling downs model with limited attraction"
    - "randomized social choice functions under metric preferences"
    - "normalized range voting broadly resists control"
    - "control complexity in fallback voting"
    - "the complexity of probabilistic lobbying"
    - "sincere strategy preference based approval voting fully resists constructive control and broadly resists destructive control"
    - "how hard is bribery in elections"
    - "hybrid elections broaden complexity theoretic resistance to control"

Connected through hyperedge HE-4 (induced by source paper "exploiting social influence to control elections based on scoring rules"):
  with members:
    - "defending elections against malicious spread of misinformation"
    - "disinformation and social bot operations in the run up to the 2017 french presidential election"
    - "controlling elections through social influence"
    - "complexity of shift bribery in committee elections"
    - "influence maximization near optimal time complexity meets practical efficiency"
    - "minority becomes majority in social networks"

Connected through hyperedge HE-5 (induced by source paper "gerrymandering a briber s perspective"):
  with members:
    - "equality of voice towards fair representation in crowdsourced top k recommendations"
    - "how hard is bribery in elections"

Connected through hyperedge HE-6 (induced by source paper "vote for me election control via social influence in arbitrary scoring rule voting systems"):
  with members:
    - "disinformation and social bot operations in the run up to the 2017 french presidential election"

Connected through hyperedge HE-7 (induced by source paper "algorithms for destructive shift bribery"):
  with members:
    - "robustness among multiwinner voting rules"
    - "voting and bribing in single exponential time"
    - "on the hardness of bribery variants in voting with cp nets"
    - "prices matter for the parameterized complexity of shift bribery"
    - "estimating the margin of victory of an election using sampling"
    - "campaign management under approval driven voting rules"
    - "properties of multiwinner voting rules"
    - "complexity of manipulation bribery and campaign management in bucklin and fallback voting"

Connected through hyperedge HE-8 (induced by source paper "mixed integer programming with convex concave constraints fixed parameter tractability and applications to multicovering and voting"):
  with members:
    - "a parameterized strongly polynomial algorithm for block structured integer programs"
    - "faster algorithms for integer programs with block structure"
    - "fair knapsack"
    - "scheduling meets n fold integer programming"
    - "evaluating and tuning n fold integer programming"
    - "combinatorial n fold integer programming and applications"
    - "integer programming in parameterized complexity three miniatures"
    - "solving integer linear programs with a small number of global variables and constraints"

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)