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: "folks in folksonomies social link prediction from shared metadata"
  Abstract: Web 2.0 applications have attracted a considerable amount of attention because their open-ended nature allows users to create lightweight semantic scaffolding to organize and share content. To date, the interplay of the social and semantic components of social media has been only partially explored. Here we focus on Flickr and Last.fm, two social media systems in which we can relate the tagging activity of the users with an explicit representation of their social network. We show that a substantial level of local lexical and topical alignment is observable among users who lie close to each other in the social network. We introduce a null model that preserves user activity while removing local correlations, allowing us to disentangle the actual local alignment between users from statistical effects due to the assortative mixing of user activity and centrality in the social network. This analysis suggests that users with similar topical interests are more likely to be friends, and therefore semantic similarity measures among users based solely on their annotation metadata should be predictive of social links. We test this hypothesis on the Last.fm data set, confirming that the social network constructed from semantic similarity captures actual friendship more accurately than Last.fm's suggestions based on listening patterns.

Connected through hyperedge HE-1 (induced by source paper "beautiful and damned combined effect of content quality and social ties on user engagement"):
  with members:
    - "to click or not to click automatic selection of beautiful thumbnails from videos"
    - "online actions with offline impact how online social networks influence online and offline user behavior"
    - "the majority illusion in social networks"
    - "photo aesthetics ranking network with attributes and content adaptation"
    - "yfcc100m the new data in multimedia research"
    - "an image is worth more than a thousand favorites surfacing the hidden beauty of flickr pictures"
    - "the beauty of capturing faces rating the quality of digital portraits"
    - "imagenet large scale visual recognition challenge"

Connected through hyperedge HE-2 (induced by source paper "on the behaviour of deviant communities in online social networks"):
  with members:
    - "the majority illusion in social networks"
    - "friendship paradox redux your friends are more interesting than you"
    - "distinguishing topical and social groups based on common identity and bond theory"
    - "on the interplay between social and topical structure"
    - "truthy mapping the spread of astroturf in microblog streams"

Connected through hyperedge HE-3 (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"
    - "analyzing user behavior across social sharing environments"
    - "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"

Connected through hyperedge HE-4 (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"
    - "influence and passivity in social media"

Connected through hyperedge HE-5 (induced by source paper "a survey of link recommendation for social networks methods theoretical foundations and future research directions"):
  with members:
    - "utility based link recommendation for online social networks"
    - "reciprocity in social networks with capacity constraints"
    - "user recommendations in reciprocal and bipartite social networks an online dating case study"
    - "negative link prediction in social media"
    - "predicting adoption probabilities in social networks"
    - "multi scale link prediction"
    - "supervised random walks predicting and recommending links in social networks"
    - "the slashdot zoo mining a social network with negative edges"

Connected through hyperedge HE-6 (induced by source paper "utility based link recommendation for online social networks"):
  with members:
    - "a tutorial on learning with bayesian networks"
    - "predicting adoption probabilities in social networks"
    - "the bayesian structural em algorithm"
    - "contrasting multiple social network autocorrelations for binary outcomes with applications to technology adoption"
    - "supervised random walks predicting and recommending links in social networks"
    - "the link prediction problem in bipartite networks"
    - "social networks that matter twitter under the microscope"

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"
    - "analyzing user behavior across social sharing environments"
    - "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"

Connected through hyperedge HE-8 (induced by source paper "user relatedness and community structure in social interaction networks"):
  with members:
    - "empirical comparison of algorithms for network community detection"
    - "community structure in large networks natural cluster sizes and the absence of large well defined clusters"
    - "nearly linear time algorithms for graph partitioning graph sparsification and solving linear 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.CY(Computers and Society)