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: "social information processing in news aggregation"
  Abstract: Social media sites underscore the Web's transformation to a participatory medium in which users collaboratively create, evaluate, and distribute information. Innovations in social media have led to social information processing, a new paradigm for interacting with data. The social news aggregator Digg exploits social information processing for document recommendation and rating. Additionally, via mathematical modeling, it's possible to describe how collaborative document rating emerges from the independent decisions users make. Using such a model, the author reproduces observed ratings that actual stories on Digg have received.

Connected through hyperedge HE-1 (induced by source paper "topicality and impact in social media diverse messages focused messengers"):
  with members:
    - "can cascades be predicted"
    - "bigbirds never die understanding social dynamics of emergent hashtag"
    - "the role of information diffusion in the evolution of social networks"
    - "clustering memes in social media"
    - "virality prediction and community structure in social networks"
    - "real time discovery of dense clusters in highly dynamic graphs identifying real world events in highly dynamic environments"
    - "on the interplay between social and topical structure"
    - "folks in folksonomies social link prediction from shared metadata"

Connected through hyperedge HE-2 (induced by source paper "stochastic models predict user behavior in social media"):
  with members:
    - "friendship paradox redux your friends are more interesting than you"
    - "collaborative topic regression with social matrix factorization for recommendation systems"
    - "social dynamics of digg"
    - "using stochastic models to describe and predict social dynamics of web users"
    - "stochastic models of user contributory web sites"
    - "predicting the popularity of online content"
    - "analysis of social voting patterns on digg"

Connected through hyperedge HE-3 (induced by source paper "hourly traffic prediction of news stories"):
  with members:
    - "keyphrase cloud generation of broadcast news"
    - "using a model of social dynamics to predict popularity of news"
    - "predicting the popularity of online content"
    - "kea practical automatic keyphrase extraction"

Connected through hyperedge HE-4 (induced by source paper "social contagion an empirical study of information spread on digg and twitter follower graphs"):
  with members:
    - "social dynamics of digg"
    - "what stops social epidemics"
    - "entropy based classification of retweeting activity on twitter"
    - "information contagion an empirical study of the spread of news on digg and twitter social networks"
    - "using a model of social dynamics to predict popularity of news"
    - "a framework for quantitative analysis of cascades on networks"
    - "predicting influential users in online social networks"
    - "stochastic models of user contributory web sites"

Connected through hyperedge HE-5 (induced by source paper "social dynamics of digg"):
  with members:
    - "early warning analysis for social diffusion events"
    - "folks in folksonomies social link prediction from shared metadata"
    - "using a model of social dynamics to predict popularity of news"
    - "supervised random walks predicting and recommending links in social networks"
    - "using stochastic models to describe and predict social dynamics of web users"
    - "stochastic models of user contributory web sites"
    - "predicting the popularity of online content"
    - "analysis of social voting patterns on digg"

Connected through hyperedge HE-6 (induced by source paper "using proximity to predict activity in social networks"):
  with members:
    - "what stops social epidemics"
    - "non conservative diffusion and its application to social network analysis"
    - "a probabilistic approach for learning folksonomies from structured data"
    - "birds of a feather does user homophily impact information diffusion in social media"
    - "stochastic models of user contributory web sites"
    - "novelty and collective attention"
    - "social browsing on flickr"
    - "social networks and social information filtering on digg"

Connected through hyperedge HE-7 (induced by source paper "entropy based classification of retweeting activity on twitter"):
  with members:
    - "information contagion an empirical study of the spread of news on digg and twitter social networks"
    - "novelty and collective attention"

Connected through hyperedge HE-8 (induced by source paper "using stochastic models to describe and predict social dynamics of web users"):
  with members:
    - "early warning analysis for social diffusion events"
    - "information contagion an empirical study of the spread of news on digg and twitter social networks"
    - "using a model of social dynamics to predict popularity of news"
    - "stochastic models of user contributory web sites"
    - "predicting the popularity of online content"
    - "analysis of social voting patterns on digg"
    - "novelty and collective attention"
    - "social browsing on flickr"

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)