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: "how to work a crowd developing crowd capital through crowdsourcing"
  Abstract: Traditionally, the term crowd was used almost exclusively in the context of people who self-organized around a common purpose, emotion or experience. Today, however, firms often refer to crowds in discussions of how collections of individuals can be engaged for organizational purposes. Crowdsourcing, the use of information technologies to outsource business responsibilities to crowds, can now significantly influence a firms ability to leverage previously unattainable resources to build competitive advantage. Nonetheless, many managers are hesitant to consider crowdsourcing because they do not understand how its various types can add value to the firm. In response, we explain what crowdsourcing is, the advantages it offers and how firms can pursue crowdsourcing. We begin by formulating a crowdsourcing typology and show how its four categories (crowd-voting, micro-task, idea and solution crowdsourcing) can help firms develop crowd capital, an organizational-level resource harnessed from the crowd. We then present a three-step process model for generating crowd capital. Step one includes important considerations that shape how a crowd is to be constructed. Step two outlines the capabilities firms need to develop to acquire and assimilate resources (knowledge, labor, funds) from the crowd. Step three addresses key decision-areas that executives need to address to effectively engage crowds.

Connected through hyperedge HE-1 (induced by source paper "curating social media data"):
  with members:
    - "hollywood in homes crowdsourcing data collection for activity understanding"
    - "on the dynamics of social media popularity a youtube case study"
    - "big data and cross document coreference resolution current state and future opportunities"
    - "temporal provenance model tpm model and query language"
    - "extending sparql to support entity grouping and path queries"
    - "crowder crowdsourcing entity resolution"

Connected through hyperedge HE-2 (induced by source paper "the fundamentals of policy crowdsourcing"):
  with members:
    - "the contours of crowd capability"
    - "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-3 (induced by source paper "next generation crowdsourcing for collective intelligence"):
  with members:
    - "the fundamentals of policy crowdsourcing"
    - "the contours of crowd capability"
    - "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-4 (induced by source paper "crowd science measurements models and methods"):
  with members:
    - "the fundamentals of policy crowdsourcing"
    - "the contours of crowd capability"
    - "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-5 (induced by source paper "moocs and crowdsourcing massive courses and massive resources"):
  with members:
    - "methods for ordinal peer grading"
    - "the theory of crowd capital"

Connected through hyperedge HE-6 (induced by source paper "a framework for policy crowdsourcing"):
  with members:
    - "the contours of crowd capability"
    - "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-7 (induced by source paper "crowd capital in governance contexts"):
  with members:
    - "government and social media a case study of 31 informational world cities"
    - "the theory of crowd capital"

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)