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 "the distortion of distributed voting"):
  Abstract: Voting can abstractly model any decision-making scenario and as such it has been extensively studied over the decades. Recently, the related literature has focused on quantifying the impact of utilizing only limited information in the voting process on the societal welfare for the outcome, by bounding the distortion of voting rules. Even though there has been significant progress towards this goal, all previous works have so far neglected the fact that in many scenarios (like presidential elections) voting is actually a distributed procedure. In this paper, we consider a setting in which the voters are partitioned into disjoint districts and vote locally therein to elect local winning alternatives using a voting rule; the final outcome is then chosen from the set of these alternatives. We prove tight bounds on the distortion of well-known voting rules for such distributed elections both from a worst-case perspective as well as from a best-case one. Our results indicate that the partition of voters into districts leads to considerably higher distortion, a phenomenon which we also experimentally showcase using real-world data.

Includes members:
  Member "improved metric distortion for deterministic social choice rules":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "peeking behind the ordinal curtain improving distortion via cardinal queries")
  Member "awareness of voter passion greatly improves the distortion of metric social choice":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "peeking behind the ordinal curtain improving distortion via cardinal queries")
  Member "peeking behind the ordinal curtain improving distortion via cardinal queries":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "awareness of voter passion greatly improves the distortion of metric social choice")
  Member "approval based elections and distortion of voting rules":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "peeking behind the ordinal curtain improving distortion via cardinal queries")
  Member "relating metric distortion and fairness of social choice rules":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "peeking behind the ordinal curtain improving distortion via cardinal queries")
  Member "metric distortion of social choice rules lower bounds and fairness properties":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "peeking behind the ordinal curtain improving distortion via cardinal queries")
  Member "randomized social choice functions under metric preferences":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "how good is a two party election game")
  Member "on voting and facility location":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "selecting voting locations for fun and profit")

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)