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 contours of crowd capability"
  Abstract: In this work we use the theory of Crowd Capital as a lens to compare and contrast a number of IS tools currently in use by organizations for crowd-engagement purposes. In doing so, we contribute to both the practitioner and research domains. For the practitioner community we provide decision-makers with a convenient and useful resource, in table-form, outlining in detail some of the differing potentialities of crowd-engaging IS. For the research community we begin to unpack some of the key properties of crowd-engaging IS, including some of the differing qualities of the crowds that these IS application engage.

Connected through hyperedge HE-1 (induced by source paper "the fundamentals of policy crowdsourcing"):
  with members:
    - "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"
    - "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"
    - "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"
    - "the theory of crowd capital"

Connected through hyperedge HE-3 (induced by source paper "crowd science measurements models and methods"):
  with members:
    - "the fundamentals of policy crowdsourcing"
    - "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"
    - "the theory of crowd capital"

Connected through hyperedge HE-4 (induced by source paper "how to work a crowd developing crowd capital through crowdsourcing"):
  with members:
    - "the theory of crowd capital"
    - "link prediction by de anonymization how we won the kaggle social network challenge"

Connected through hyperedge HE-5 (induced by source paper "a framework for policy crowdsourcing"):
  with members:
    - "how to work a crowd developing crowd capital through crowdsourcing"
    - "crowdsourcing the policy cycle"
    - "a computational model of crowds for collective intelligence"
    - "the theory of crowd capital"
    - "the stength of weak cooperation a case study on flickr"

Connected through hyperedge HE-6 (induced by source paper "a computational model of crowds for collective intelligence"):
  with members:
    - "the theory of crowd capital"
    - "crowdsourcing attention and productivity"

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)