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: "generalized friendship paradox in complex networks the case of scientific collaboration"
  Abstract: The friendship paradox states that your friends have on average more friends than you have. Does the paradox "hold" for other individual characteristics like income or happiness? To address this question, we generalize the friendship paradox for arbitrary node characteristics in complex networks. By analyzing two coauthorship networks of Physical Review journals and Google Scholar profiles, we find that the generalized friendship paradox (GFP) holds at the individual and network levels for various characteristics, including the number of coauthors, the number of citations, and the number of publications. The origin of the GFP is shown to be rooted in positive correlations between degree and characteristics. As a fruitful application of the GFP, we suggest effective and efficient sampling methods for identifying high characteristic nodes in large-scale networks. Our study on the GFP can shed lights on understanding the interplay between network structure and node characteristics in complex networks.

Connected through hyperedge HE-1 (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 majority illusion in social networks"
    - "the h index paradox your coauthors have a higher h index than you do"
    - "network weirdness exploring the origins of network paradoxes"
    - "clustering and community detection in directed networks a survey"
    - "friendship paradox redux your friends are more interesting than you"

Connected through hyperedge HE-2 (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"
    - "the majority illusion in social networks"
    - "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"
    - "friendship paradox redux your friends are more interesting than you"

Connected through hyperedge HE-3 (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"
    - "the majority illusion in social networks"
    - "graph based semi supervised learning for relational networks"
    - "social structure of facebook networks"
    - "the anatomy of the facebook social graph"

Connected through hyperedge HE-4 (induced by source paper "centrality friendship paradoxes when our friends are more important than us"):
  with members:
    - "the happiness paradox your friends are happier than you"
    - "network weirdness exploring the origins of network paradoxes"
    - "friendship paradox redux your friends are more interesting than you"
    - "total communicability as a centrality measure"
    - "using friends as sensors to detect global scale contagious outbreaks"

Connected through hyperedge HE-5 (induced by source paper "which friends are more popular than you contact strength and the friendship paradox in social networks"):
  with members:
    - "collective attention in the age of mis information"
    - "friendship paradox redux your friends are more interesting than you"
    - "using friends as sensors to detect global scale contagious outbreaks"
    - "the anatomy of the facebook social graph"

Connected through hyperedge HE-6 (induced by source paper "resilience of core periphery networks in the case of rich club"):
  with members:
    - "rich club ordering and the dyadic effect two interrelated phenomena"
    - "the rich club phenomenon in the internet topology"

Connected through hyperedge HE-7 (induced by source paper "neighbor neighbor correlations explain measurement bias in networks"):
  with members:
    - "the majority illusion in social networks"
    - "identification of core periphery structure in networks"
    - "network weirdness exploring the origins of network paradoxes"
    - "friendship paradox redux your friends are more interesting than you"
    - "virality prediction and community structure in social networks"
    - "core periphery structure in networks"
    - "systematic topology analysis and generation using degree correlations"

Connected through hyperedge HE-8 (induced by source paper "the majority illusion in social networks"):
  with members:
    - "network weirdness exploring the origins of network paradoxes"
    - "structural properties of ego networks"
    - "friendship paradox redux your friends are more interesting than you"
    - "using friends as sensors to detect global scale contagious outbreaks"
    - "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)