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: "analyzing user behavior across social sharing environments"
  Abstract: In this work we present an in-depth analysis of the user behaviors on different Social Sharing systems. We consider three popular platforms, Flickr, Delicious and StumbleUpon, and, by combining techniques from social network analysis with techniques from semantic analysis, we characterize the tagging behavior as well as the tendency to create friendship relationships of the users of these platforms. The aim of our investigation is to see if (and how) the features and goals of a given Social Sharing system reflect on the behavior of its users and, moreover, if there exists a correlation between the social and tagging behavior of the users. We report our findings in terms of the characteristics of user profiles according to three different dimensions: (i) intensity of user activities, (ii) tag-based characteristics of user profiles, and (iii) semantic characteristics of user profiles.

Connected through hyperedge HE-1 (induced by source paper "latent space model for multi modal social data"):
  with members:
    - "structure and inference in annotated networks"
    - "analysis of a heterogeneous social network of humans and cultural objects"
    - "quantifying the effect of sentiment on information diffusion in social media"
    - "on facebook most ties are weak"
    - "online popularity and topical interests through the lens of instagram"
    - "the bursty dynamics of the twitter information network"
    - "can cascades be predicted"
    - "traveling trends social butterflies or frequent fliers"

Connected through hyperedge HE-2 (induced by source paper "analysis of a heterogeneous social network of humans and cultural objects"):
  with members:
    - "people are strange when you re a stranger impact and influence of bots on social networks"
    - "the digital evolution of occupy wall street"
    - "the geospatial characteristics of a social movement communication network"
    - "is the sample good enough comparing data from twitter s streaming api with twitter s firehose"
    - "a large scale community structure analysis in facebook"
    - "topological features of online social networks"
    - "crawling facebook for social network analysis purposes"
    - "multidimensional social network in the social recommender system"

Connected through hyperedge HE-3 (induced by source paper "measure the similarity of nodes in the complex networks"):
  with members:
    - "tsallis information dimension of complex networks"
    - "on facebook most ties are weak"
    - "local structure entropy of complex networks"
    - "a new information dimension of complex networks"
    - "traveling trends social butterflies or frequent fliers"
    - "a large scale community structure analysis in facebook"

Connected through hyperedge HE-4 (induced by source paper "tsallis entropy of complex networks"):
  with members:
    - "tsallis information dimension of complex networks"
    - "on facebook most ties are weak"
    - "a new information dimension of complex networks"
    - "a large scale community structure analysis in facebook"

Connected through hyperedge HE-5 (induced by source paper "time aware analysis and ranking of lurkers in social networks"):
  with members:
    - "lurking in social networks topology based analysis and ranking methods"
    - "online popularity and topical interests through the lens of instagram"
    - "social resilience in online communities the autopsy of friendster"
    - "dynamical classes of collective attention in twitter"

Connected through hyperedge HE-6 (induced by source paper "the user behavior in facebook and its development from 2009 until 2014"):
  with members:
    - "the role of social networks in information diffusion"
    - "crawling facebook for social network analysis purposes"
    - "profile popularity in a business oriented online social network"

Connected through hyperedge HE-7 (induced by source paper "web data extraction applications and techniques"):
  with members:
    - "traveling trends social butterflies or frequent fliers"
    - "the geospatial characteristics of a social movement communication network"
    - "clustering memes in social media"
    - "multi domain collaborative filtering"
    - "a large scale community structure analysis in facebook"
    - "intelligent self repairable web wrappers"
    - "design of automatically adaptable web wrappers"
    - "crawling facebook for social network analysis purposes"

Connected through hyperedge HE-8 (induced by source paper "online popularity and topical interests through the lens of instagram"):
  with members:
    - "predicting successful memes using network and community structure"
    - "the digital evolution of occupy wall street"
    - "the role of information diffusion in the evolution of social networks"
    - "traveling trends social butterflies or frequent fliers"
    - "the geospatial characteristics of a social movement communication network"
    - "from amateurs to connoisseurs modeling the evolution of user expertise through online reviews"
    - "virality prediction and community structure in social networks"
    - "a large scale community structure analysis in facebook"

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.SI(Social and Information Networks)