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 theory of crowd capital"
  Abstract: We are seeing more and more organizations undertaking activities to engage dispersed populations through IS. Using the knowledge-based view of the organization, this work conceptualizes a theory of Crowd Capital to explain this phenomenon. Crowd Capital is a heterogeneous knowledge resource generated by an organization, through its use of Crowd Capability, which is defined by the structure, content, and process by which an organization engages with the dispersed knowledge of individuals (the Crowd). Our work draws upon a diverse literature and builds upon numerous examples of practitioner implementations to support our theorizing. We present a model of Crowd Capital generation in organizations and discuss the implications of Crowd Capital on organizational boundary and on IS research.

Connected through hyperedge HE-1 (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 labor economics of paid crowdsourcing"

Connected through hyperedge HE-2 (induced by source paper "next generation crowdsourcing for collective intelligence"):
  with members:
    - "the fundamentals of policy crowdsourcing"
    - "the contours of crowd capability"
    - "how to work a crowd developing crowd capital through crowdsourcing"
    - "crowd science measurements models and methods"
    - "reliable diversity based spatial crowdsourcing by moving workers"
    - "prediction based task assignment on spatial crowdsourcing"
    - "wearable computing for health and fitness exploring the relationship between data and human behaviour"

Connected through hyperedge HE-3 (induced by source paper "crowd science measurements models and methods"):
  with members:
    - "the fundamentals of policy crowdsourcing"
    - "the contours of crowd capability"
    - "how to work a crowd developing crowd capital through crowdsourcing"
    - "health care crowds collective intelligence in public health"
    - "an abstract formal basis for digital crowds"
    - "a computational model of crowds for collective intelligence"

Connected through hyperedge HE-4 (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 labor economics of paid crowdsourcing"

Connected through hyperedge HE-5 (induced by source paper "the contours of crowd capability"):
  with members:
    - "the new war correspondents the rise of civic media curation in urban warfare"
    - "crowdsourcing attention and productivity"
    - "the stength of weak cooperation a case study on flickr"

Connected through hyperedge HE-6 (induced by source paper "how to work a crowd developing crowd capital through crowdsourcing"):
  with members:
    - "the contours of crowd capability"
    - "link prediction by de anonymization how we won the kaggle social network challenge"

Connected through hyperedge HE-7 (induced by source paper "crowdsourcing sharing economies and development"):
  with members:
    - "the fundamentals of policy crowdsourcing"
    - "experiments on crowdsourcing policy assessment"

Connected through hyperedge HE-8 (induced by source paper "moocs and crowdsourcing massive courses and massive resources"):
  with members:
    - "how to work a crowd developing crowd capital through crowdsourcing"
    - "methods for ordinal peer grading"

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.CY(Computers and Society)