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: "the labor economics of paid crowdsourcing"
  Abstract: Crowdsourcing is a form of "peer production" in which work traditionally performed by an employee is outsourced to an "undefined, generally large group of people in the form of an open call." We present a model of workers supplying labor to paid crowdsourcing projects. We also introduce a novel method for estimating a worker's reservation wage--the smallest wage a worker is willing to accept for a task and the key parameter in our labor supply model. It shows that the reservation wages of a sample of workers from Amazon's Mechanical Turk (AMT) are approximately log normally distributed, with a median wage of $1.38/hour. At the median wage, the point elasticity of extensive labor supply is 0.43. We discuss how to use our calibrated model to make predictions in applied work. Two experimental tests of the model show that many workers respond rationally to offered incentives. However, a non-trivial fraction of subjects appear to set earnings targets. These "target earners" consider not just the offered wage--which is what the rational model predicts--but also their proximity to earnings goals. Interestingly, a number of workers clearly prefer earning total amounts evenly divisible by 5, presumably because these amounts make good targets.

Connected through hyperedge HE-1 (induced by source paper "turkscanner predicting the hourly wage of microtasks"):
  with members:
    - "crowd coach peer coaching for crowd workers skill growth"
    - "a data driven analysis of workers earnings on amazon mechanical turk"
    - "xgboost a scalable tree boosting system"
    - "the condition of the turking class are online employers fair and honest"

Connected through hyperedge HE-2 (induced by source paper "the fundamentals of policy crowdsourcing"):
  with members:
    - "the contours of crowd capability"
    - "how to work a crowd developing crowd capital through crowdsourcing"
    - "experiments on crowdsourcing policy assessment"
    - "crowdsourcing the policy cycle"
    - "a computational model of crowds for collective intelligence"
    - "crowdsourcing for participatory democracies efficient elicitation of social choice functions"
    - "government and social media a case study of 31 informational world cities"
    - "the theory of crowd capital"

Connected through hyperedge HE-3 (induced by source paper "eliciting worker preference for task completion"):
  with members:
    - "feature based task recommendation in crowdsourcing with implicit observations"
    - "faster subset selection for matrices and applications"

Connected through hyperedge HE-4 (induced by source paper "certified computation in crowdsourcing"):
  with members:
    - "being robust in high dimensions can be practical"
    - "learning from untrusted data"
    - "avoiding imposters and delinquents adversarial crowdsourcing and peer prediction"
    - "feature multi selection among subjective features"
    - "crowdsourced judgement elicitation with endogenous proficiency"
    - "mechanism design for time critical and cost critical task execution via crowdsourcing"
    - "optimal crowdsourcing contests"

Connected through hyperedge HE-5 (induced by source paper "crowdsourcing a new tool for policy making"):
  with members:
    - "the fundamentals of policy crowdsourcing"
    - "next generation crowdsourcing for collective intelligence"
    - "experiments on crowdsourcing policy assessment"
    - "crowdsourcing sharing economies and development"
    - "crowd science measurements models and methods"
    - "the theory of crowd capital"

Connected through hyperedge HE-6 (induced by source paper "measuring motivations of crowdworkers the multidimensional crowdworker motivation scale"):
  with members:
    - "characterizing the global crowd workforce a cross country comparison of crowdworker demographics"
    - "the polylingual labeled topic model"
    - "stochastic collapsed variational bayesian inference for latent dirichlet allocation"

Connected through hyperedge HE-7 (induced by source paper "understanding workers developing effective tasks and enhancing marketplace dynamics a study of a large crowdsourcing marketplace"):
  with members:
    - "clamshell speeding up crowds for low latency data labeling"
    - "finish them pricing algorithms for human computation"
    - "cdas a crowdsourcing data analytics system"

Connected through hyperedge HE-8 (induced by source paper "a data driven analysis of workers earnings on amazon mechanical turk"):
  with members:
    - "understanding workers developing effective tasks and enhancing marketplace dynamics a study of a large crowdsourcing marketplace"

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.HC(Human-Computer Interaction)