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: "computational social choice and computational complexity bffs"
  Abstract: We discuss the connection between computational social choice (comsoc) and computational complexity. We stress the work so far on, and urge continued focus on, two less-recognized aspects of this connection. Firstly, this is very much a two-way street: Everyone knows complexity classification is used in comsoc, but we also highlight benefits to complexity that have arisen from its use in comsoc. Secondly, more subtle, less-known complexity tools often can be very productively used in comsoc.

Connected through hyperedge HE-1 (induced by source paper "the complexity of online bribery in sequential elections extended abstract"):
  with members:
    - "the complexity of online bribery in sequential elections"
    - "high multiplicity election problems"
    - "prices matter for the parameterized complexity of shift bribery"
    - "the complexity of controlling candidate sequential elections"
    - "the complexity of online manipulation of sequential elections"
    - "the complexity of online voter control in sequential elections"
    - "new candidates welcome possible winners with respect to the addition of new candidates"
    - "equilibria of plurality voting with abstentions"

Connected through hyperedge HE-2 (induced by source paper "the complexity of splitting necklaces and bisecting ham sandwiches"):
  with members:
    - "end of potential line"
    - "on the polynomial parity argument complexity of the combinatorial nullstellensatz"
    - "consensus halving is ppa complete"
    - "integer factoring and modular square roots"
    - "hardness results for consensus halving"
    - "settling the complexity of computing approximate two player nash equilibria"
    - "on the complexity of nash equilibria in anonymous games"
    - "inapproximability of nash equilibrium"

Connected through hyperedge HE-3 (induced by source paper "consensus halving is ppa complete"):
  with members:
    - "on the polynomial parity argument complexity of the combinatorial nullstellensatz"
    - "integer factoring and modular square roots"
    - "hardness results for consensus halving"
    - "settling the complexity of computing approximate two player nash equilibria"
    - "on the complexity of nash equilibria in anonymous games"
    - "inapproximability of nash equilibrium"
    - "on the complexity of finding falsifying assignments for herbrand disjunctions"
    - "constant rank bimatrix games are ppad hard"

Connected through hyperedge HE-4 (induced by source paper "search versus decision for election manipulation problems"):
  with members:
    - "existence versus exploitation the opacity of backbones and backdoors under a weak assumption"
    - "the opacity of backbones"
    - "schulze and ranked pairs voting are fixed parameter tractable to bribe manipulate and control"
    - "the complexity of manipulative attacks in nearly single peaked electorates"
    - "multimode control attacks on elections"
    - "normalized range voting broadly resists control"
    - "control complexity in fallback voting"
    - "the shield that never was societies with single peaked preferences are more open to manipulation and control"

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.MA(Multiagent Systems)