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 aspects of multi winner approval voting"
  Abstract: We study computational aspects of three prominent voting rules that use approval ballots to elect multiple winners. These rules are satisfaction approval voting, proportional approval voting, and reweighted approval voting. We first show that computing the winner for proportional approval voting is NP-hard, closing a long standing open problem. As none of the rules are strategyproof, even for dichotomous preferences, we study various strategic aspects of the rules. In particular, we examine the computational complexity of computing a best response for both a single agent and a group of agents. In many settings, we show that it is NP-hard for an agent or agents to compute how best to vote given a fixed set of approval ballots from the other agents.

Connected through hyperedge HE-1 (induced by source paper "evaluating approval based multiwinner voting in terms of robustness to noise"):
  with members:
    - "a quantitative analysis of multi winner rules"
    - "consistent approval based multi winner rules"
    - "multiwinner approval rules as apportionment methods"
    - "finding a collective set of items from proportional multirepresentation to group recommendation"
    - "justified representation in approval based committee voting"
    - "a maximum likelihood approach for selecting sets of alternatives"
    - "common voting rules as maximum likelihood estimators"

Connected through hyperedge HE-2 (induced by source paper "on the complexity of destructive bribery in approval based multi winner voting"):
  with members:
    - "monotonicity axioms in approval based multi winner voting rules"
    - "complexity of shift bribery in committee elections"
    - "structure in dichotomous preferences"
    - "elections with few voters candidate control can be easy"
    - "election attacks with few candidates"
    - "justified representation in approval based committee voting"

Connected through hyperedge HE-3 (induced by source paper "who is in your top three optimizing learning in elections with many candidates"):
  with members:
    - "truthful aggregation of budget proposals"
    - "a framework for approval based budgeting methods"
    - "designing optimal binary rating systems"
    - "a quantitative analysis of multi winner rules"
    - "designing informative rating systems for online platforms evidence from two experiments"
    - "consistent approval based multi winner rules"
    - "iterative local voting for collective decision making in continuous spaces"
    - "optimizing positional scoring rules for rank aggregation"

Connected through hyperedge HE-4 (induced by source paper "approval based apportionment"):
  with members:
    - "group fairness in committee selection"
    - "fair allocation of indivisible public goods"
    - "monotonicity axioms in approval based multi winner voting rules"
    - "fair mixing the case of dichotomous preferences"
    - "committees providing ejr can be computed efficiently"
    - "multiwinner approval rules as apportionment methods"
    - "finding a collective set of items from proportional multirepresentation to group recommendation"
    - "justified representation in approval based committee voting"

Connected through hyperedge HE-5 (induced by source paper "proportionality and the limits of welfarism"):
  with members:
    - "approximately stable committee selection"
    - "group fairness in committee selection"
    - "proportionality degree of multiwinner rules"
    - "fair allocation of indivisible public goods"
    - "consistent approval based multi winner rules"
    - "justified representation in approval based committee voting"

Connected through hyperedge HE-6 (induced by source paper "heuristics in multi winner approval voting"):
  with members:
    - "modeling peoples voting behavior with poll information"
    - "incentivizing high quality crowdwork"
    - "a local dominance theory of voting equilibria"
    - "how hard is it to control an election by breaking ties"

Connected through hyperedge HE-7 (induced by source paper "heuristic strategies in uncertain approval voting environments"):
  with members:
    - "modeling peoples voting behavior with poll information"
    - "heuristics in multi winner approval voting"
    - "a local dominance theory of voting equilibria"
    - "how hard is it to control an election by breaking ties"

Connected through hyperedge HE-8 (induced by source paper "committee selection with attribute level preferences"):
  with members:
    - "proportional approval method using squared loads approval removal and coin flip approval transformation pamsac a new system of proportional representation using approval voting"
    - "multi attribute proportional representation"
    - "campaign management under approval driven voting rules"
    - "justified representation in approval based committee voting"

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)