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: "atelier repurposing expert crowdsourcing tasks as micro internships"
  Abstract: Expert crowdsourcing marketplaces have untapped potential to empower workers' career and skill development. Currently, many workers cannot afford to invest the time and sacrifice the earnings required to learn a new skill, and a lack of experience makes it difficult to get job offers even if they do. In this paper, we seek to lower the threshold to skill development by repurposing existing tasks on the marketplace as mentored, paid, real-world work experiences, which we refer to as micro-internships. We instantiate this idea in Atelier, a micro-internship platform that connects crowd interns with crowd mentors. Atelier guides mentor-intern pairs to break down expert crowdsourcing tasks into milestones, review intermediate output, and problem-solve together. We conducted a field experiment comparing Atelier's mentorship model to a non-mentored alternative on a real-world programming crowdsourcing task, finding that Atelier helped interns maintain forward progress and absorb best practices.

Connected through hyperedge HE-1 (induced by source paper "crowd coach peer coaching for crowd workers skill growth"):
  with members:
    - "exploring blockchain for trustful collaborations between immigrants and governments"
    - "is there anything else i can help you with challenges in deploying an on demand crowd powered conversational agent"
    - "crowd guilds worker led reputation and feedback on crowdsourcing platforms"
    - "a data driven analysis of workers earnings on amazon mechanical turk"
    - "redes sociales participacion ciudadana y la hipotesis del slacktivismo lecciones del caso de el bronco social media civic engagement and the slacktivism hypothesis lessons from mexico s el bronco"
    - "parlai a dialog research software platform"
    - "botivist calling volunteers to action using online bots"

Connected through hyperedge HE-2 (induced by source paper "crowd guilds worker led reputation and feedback on crowdsourcing platforms"):
  with members:
    - "a glimpse far into the future understanding long term crowd worker quality"
    - "boomerang rebounding the consequences of reputation feedback on crowdsourcing platforms"
    - "thousands of positive reviews distributed mentoring in online fan communities"
    - "laboratories of oligarchy how the iron law extends to peer production"

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)