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 browsing on flickr"
  Abstract: The new social media sites - blogs, wikis, del.icio.us and Flickr, among others - underscore the transformation of the Web to a participatory medium in which users are actively creating, evaluating and distributing information. The photo-sharing site Flickr, for example, allows users to upload photographs, view photos created by others, comment on those photos, etc. As is common to other social media sites, Flickr allows users to designate others as ``contacts'' and to track their activities in real time. The contacts (or friends) lists form the social network backbone of social media sites. We claim that these social networks facilitate new ways of interacting with information, e.g., through what we call social browsing. The contacts interface on Flickr enables users to see latest images submitted by their friends. Through an extensive analysis of Flickr data, we show that social browsing through the contacts' photo streams is one of the primary methods by which users find new images on Flickr. This finding has implications for creating personalized recommendation systems based on the user's declared contacts lists.

Connected through hyperedge HE-1 (induced by source paper "on the dynamics of social media popularity a youtube case study"):
  with members:
    - "the digital evolution of occupy wall street"
    - "traveling trends social butterflies or frequent fliers"
    - "virality prediction and community structure in social networks"
    - "the untold story of the clones content agnostic factors that impact youtube video popularity"
    - "dynamical classes of collective attention in twitter"
    - "predicting the popularity of online content"

Connected through hyperedge HE-2 (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 information processing in news aggregation"
    - "social networks and social information filtering on digg"

Connected through hyperedge HE-3 (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 information processing in news aggregation"

Connected through hyperedge HE-4 (induced by source paper "using a model of social dynamics to predict popularity of news"):
  with members:
    - "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 information processing in news aggregation"
    - "social networks and social information filtering on digg"

Connected through hyperedge HE-5 (induced by source paper "folks in folksonomies social link prediction from shared metadata"):
  with members:
    - "the stength of weak cooperation a case study on flickr"
    - "the structure of collaborative tagging systems"

Connected through hyperedge HE-6 (induced by source paper "information diffusion in computer science citation networks"):
  with members:
    - "social information processing in news aggregation"
    - "the rich club phenomenon in the internet topology"

Connected through hyperedge HE-7 (induced by source paper "personalizing image search results on flickr"):
  with members:
    - "empirical analysis of predictive algorithms for collaborative filtering"
    - "probabilistic models for unified collaborative and content based recommendation in sparse data environments"
    - "the author topic model for authors and documents"
    - "social networks and social information filtering on digg"
    - "the structure of collaborative tagging systems"
    - "content based book recommending using learning for text categorization"

Connected through hyperedge HE-8 (induced by source paper "social information processing in news aggregation"):
  with members:
    - "novelty and collective attention"
    - "analysis of dynamic task allocation in multi robot systems"
    - "social networks and social information filtering on digg"
    - "the structure of collaborative tagging systems"

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.HC(Human-Computer Interaction)