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: "crowdsourcing attention and productivity"
  Abstract: The tragedy of the digital commons does not prevent the copious voluntary production of content that one witnesses in the web. We show through an analysis of a massive data set from \texttt{YouTube} that the productivity exhibited in crowdsourcing exhibits a strong positive dependence on attention, measured by the number of downloads. Conversely, a lack of attention leads to a decrease in the number of videos uploaded and the consequent drop in productivity, which in many cases asymptotes to no uploads whatsoever. Moreover, uploaders compare themselves to others when having low productivity and to themselves when exceeding a threshold.

Connected through hyperedge HE-1 (induced by source paper "benford s law a sleeping beauty sleeping in the dirty pages of logarithmic tables"):
  with members:
    - "citations to articles citing benford s law a benford analysis"

Connected through hyperedge HE-2 (induced by source paper "the contours of crowd capability"):
  with members:
    - "the new war correspondents the rise of civic media curation in urban warfare"
    - "the theory of crowd capital"
    - "the stength of weak cooperation a case study on flickr"

Connected through hyperedge HE-3 (induced by source paper "tweetit analyzing topics for twitter users to garner maximum attention"):
  with members:
    - "twigraph discovering and visualizing influential words between twitter profiles"

Connected through hyperedge HE-4 (induced by source paper "aggregate characterization of user behavior in twitter and analysis of the retweet graph"):
  with members:
    - "twitter reciprocal reply networks exhibit assortativity with respect to happiness"
    - "correlated dynamics in human printing behavior"

Connected through hyperedge HE-5 (induced by source paper "a computational model of crowds for collective intelligence"):
  with members:
    - "the contours of crowd capability"
    - "the theory of crowd capital"

Connected through hyperedge HE-6 (induced by source paper "iterated crowdsourcing dilemma game"):
  with members:
    - "time critical social mobilization"

Connected through hyperedge HE-7 (induced by source paper "limited attention and centrality in social networks"):
  with members:
    - "google matrix of twitter"
    - "rethinking centrality the role of dynamical processes in social network analysis"
    - "parameterized centrality metric for network analysis"
    - "non conservative diffusion and its application to social network analysis"
    - "predicting influential users in online social networks"
    - "novelty and collective attention"

Connected through hyperedge HE-8 (induced by source paper "attention and visibility in an information rich world"):
  with members:
    - "friendship paradox redux your friends are more interesting than you"
    - "social dynamics of digg"
    - "entropy based classification of retweeting activity on twitter"
    - "novelty and collective attention"

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)