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: "the majority illusion in social networks"
  Abstract: Individual’s decisions, from what product to buy to whether to engage in risky behavior, often depend on the choices, behaviors, or states of other people. People, however, rarely have global knowledge of the states of others, but must estimate them from the local observations of their social contacts. Network structure can significantly distort individual’s local observations. Under some conditions, a state that is globally rare in a network may be dramatically over-represented in the local neighborhoods of many individuals. This effect, which we call the “majority illusion,” leads individuals to systematically overestimate the prevalence of that state, which may accelerate the spread of social contagions. We develop a statistical model that quantifies this effect and validate it with measurements in synthetic and real-world networks. We show that the illusion is exacerbated in networks with a heterogeneous degree distribution and disassortative structure.

Connected through hyperedge HE-1 (induced by source paper "information diffusion in social networks friendship paradox based models and statistical inference"):
  with members:
    - "what do your friends think efficient polling methods for networks using friendship paradox"
    - "centrality friendship paradoxes when our friends are more important than us"
    - "conjoining uncooperative societies facilitates evolution of cooperation"
    - "contagions in social networks effects of monophilic contagion friendship paradox and reactive networks"
    - "which friends are more popular than you contact strength and the friendship paradox in social networks"
    - "influence maximization over markovian graphs a stochastic optimization approach"
    - "engagement dynamics and sensitivity analysis of youtube videos"
    - "the happiness paradox your friends are happier than you"

Connected through hyperedge HE-2 (induced by source paper "friendship paradox biases perceptions in directed networks"):
  with members:
    - "what do your friends think efficient polling methods for networks using friendship paradox"
    - "do diffusion protocols govern cascade growth"
    - "centrality friendship paradoxes when our friends are more important than us"
    - "the h index paradox your coauthors have a higher h index than you do"
    - "network weirdness exploring the origins of network paradoxes"
    - "generalized friendship paradox in complex networks the case of scientific collaboration"
    - "clustering and community detection in directed networks a survey"
    - "friendship paradox redux your friends are more interesting than you"

Connected through hyperedge HE-3 (induced by source paper "maximum likelihood estimation of power law degree distributions using friendship paradox based sampling"):
  with members:
    - "information diffusion in social networks friendship paradox based models and statistical inference"
    - "centrality friendship paradoxes when our friends are more important than us"
    - "which friends are more popular than you contact strength and the friendship paradox in social networks"
    - "qualities and inequalities in online social networks through the lens of the generalized friendship paradox"
    - "tracking infection diffusion in social networks filtering algorithms and threshold bounds"
    - "network weirdness exploring the origins of network paradoxes"
    - "friendship paradox redux your friends are more interesting than you"
    - "using friends as sensors to detect global scale contagious outbreaks"

Connected through hyperedge HE-4 (induced by source paper "network constraints on the mixing patterns of binary node metadata"):
  with members:
    - "multiscale mixing patterns in networks"
    - "the ground truth about metadata and community detection in networks"
    - "assembling thefacebook using heterogeneity to understand online social network assembly"
    - "social structure of facebook networks"
    - "the anatomy of the facebook social graph"

Connected through hyperedge HE-5 (induced by source paper "what do your friends think efficient polling methods for networks using friendship paradox"):
  with members:
    - "information diffusion in social networks friendship paradox based models and statistical inference"
    - "friendship paradox biases perceptions in directed networks"
    - "centrality friendship paradoxes when our friends are more important than us"
    - "gemsec graph embedding with self clustering"
    - "qualities and inequalities in online social networks through the lens of the generalized friendship paradox"
    - "online reputation and polling systems data incest social learning and revealed preferences"
    - "generalized friendship paradox in complex networks the case of scientific collaboration"
    - "friendship paradox redux your friends are more interesting than you"

Connected through hyperedge HE-6 (induced by source paper "multiscale mixing patterns in networks"):
  with members:
    - "bias and variance in the social structure of gender"
    - "the many facets of community detection in complex networks"
    - "block models and personalized pagerank"
    - "the ground truth about metadata and community detection in networks"
    - "graph based semi supervised learning for relational networks"
    - "generalized friendship paradox in complex networks the case of scientific collaboration"
    - "social structure of facebook networks"
    - "the anatomy of the facebook social graph"

Connected through hyperedge HE-7 (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"
    - "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"
    - "6 seconds of sound and vision creativity in micro videos"

Connected through hyperedge HE-8 (induced by source paper "information is not a virus and other consequences of human cognitive limits"):
  with members:
    - "user effort and network structure mediate access to information in networks"
    - "the simple rules of social contagion"
    - "portrait of an online shopper understanding and predicting consumer behavior"
    - "network weirdness exploring the origins of network paradoxes"
    - "friendship paradox redux your friends are more interesting than you"
    - "stochastic models predict user behavior in social media"
    - "information diffusion and external influence in networks"
    - "social dynamics of digg"

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)