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: "collaborative tagging as a tripartite network"
  Abstract: We describe online collaborative communities by tripartite networks, the nodes being persons, items and tags. We introduce projection methods in order to uncover the structures of the networks, i.e. communities of users, genre families... The structuring of the network is visualised by using a tree representation. The notion of diversity in the system is also discussed.

Connected through hyperedge HE-1 (induced by source paper "folksonomication predicting tags for movies from plot synopses using emotion flow encoded neural network"):
  with members:
    - "mpst a corpus of movie plot synopses with tags"
    - "the emotional arcs of stories are dominated by six basic shapes"
    - "hierarchical attention networks"
    - "you re mr lebowski i m the dude inducing address term formality in signed social networks"
    - "recurrent models of visual attention"
    - "neural machine translation by jointly learning to align and translate"
    - "multiple object recognition with visual attention"
    - "from once upon a time to happily ever after tracking emotions in novels and fairy tales"

Connected through hyperedge HE-2 (induced by source paper "extracting tag hierarchies"):
  with members:
    - "a probabilistic approach for learning folksonomies from structured data"
    - "collective dynamics of social annotation"
    - "constructing folksonomies from user specified relations on flickr"
    - "tagging folksonomy co renaissance of manual indexing"
    - "collaborative tagging and semiotic dynamics"

Connected through hyperedge HE-3 (induced by source paper "tag aware recommender systems a state of the art survey"):
  with members:
    - "bpr bayesian personalized ranking from implicit feedback"
    - "social knowledge based recommender system application to the movies domain"
    - "empirical comparison of algorithms for network community detection"
    - "collaborative filtering with diffusion based similarity on tripartite graphs"
    - "solving the apparent diversity accuracy dilemma of recommender systems"
    - "personalized recommendation via integrated diffusion on user item tag tripartite graphs"
    - "collective dynamics of social annotation"
    - "adaptive model for recommendation of news"

Connected through hyperedge HE-4 (induced by source paper "tagging with dharma a dht based approach for resource mapping through approximation"):
  with members:
    - "semantic analysis of tag similarity measures in collaborative tagging systems"

Connected through hyperedge HE-5 (induced by source paper "semantic analysis of tag similarity measures in collaborative tagging systems"):
  with members:
    - "distributional measures as proxies for semantic relatedness"
    - "the structure of collaborative tagging systems"

Connected through hyperedge HE-6 (induced by source paper "tagging folksonomy co renaissance of manual indexing"):
  with members:
    - "collaborative thesaurus tagging the wikipedia way"
    - "collaborative tagging and semiotic dynamics"

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.DS(Data Structures and Algorithms)