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: "navigating the massive world of reddit using backbone networks to map user interests in social media"
  Abstract: In the massive online worlds of social media, users frequently rely on organizing themselves around specific topics of interest to find and engage with like-minded people. However, navigating these massive worlds and finding topics of specific interest often proves difficult because the worlds are mostly organized haphazardly, leaving users to find relevant interests by word of mouth or using a basic search feature. Here, we report on a method using the backbone of a network to create a map of the primary topics of interest in any social network. To demonstrate the method, we build an interest map for the social news web site reddit and show how such a map could be used to navigate a social media world. Moreover, we analyze the network properties of the reddit social network and find that it has a scale-free, small-world, and modular community structure, much like other online social networks such as Facebook and Twitter. We suggest that the integration of interest maps into popular social media platforms will assist users in organizing themselves into more specific interest groups, which will help alleviate the overcrowding effect often observed in large online communities.

Connected through hyperedge HE-1 (induced by source paper "firsthand opiates abuse on social media monitoring geospatial patterns of interest through a digital cohort"):
  with members:
    - "the anatomy of reddit an overview of academic research"
    - "caveat emptor computational social science large scale missing data in a widely published reddit corpus"
    - "twitter for sparking a movement reddit for sharing the moment metoo through the lens of social media"
    - "a web of hate tackling hateful speech in online social spaces"
    - "the impact of crowds on news engagement a reddit case study"
    - "science askscience and badscience on the coexistence of highly related communities"
    - "query expansion with locally trained word embeddings"
    - "all who wander on the prevalence and characteristics of multi community engagement"

Connected through hyperedge HE-2 (induced by source paper "can whatsapp counter misinformation by limiting message forwarding"):
  with members:
    - "on microtargeting socially divisive ads a case study of russia linked ad campaigns on facebook"
    - "disinformation warfare understanding state sponsored trolls on twitter and their influence on the web"
    - "whatsapp doc a first look at whatsapp public group data"
    - "disinformation and social bot operations in the run up to the 2017 french presidential election"
    - "the role of social networks in information diffusion"
    - "image labeling on a network using social network metadata for image classification"

Connected through hyperedge HE-3 (induced by source paper "tracking the diffusion of named entities"):
  with members:
    - "random voting effects in social digital spaces a case study of reddit post submissions"
    - "usfd twitter ner with drift compensation and linked data"
    - "temporal scaling in information propagation"
    - "evolution of reddit from the front page of the internet to a self referential community"
    - "predicting adoption probabilities in social networks"
    - "the role of social networks in information diffusion"

Connected through hyperedge HE-4 (induced by source paper "properties of healthcare teaming networks as a function of network construction algorithms"):
  with members:
    - "parallel sparse matrix matrix multiplication and indexing implementation and experiments"
    - "highly parallel sparse matrix matrix multiplication"

Connected through hyperedge HE-5 (induced by source paper "what do vegans do in their spare time latent interest detection in multi community networks"):
  with members:
    - "all who wander on the prevalence and characteristics of multi community engagement"
    - "overlapping community detection in networks the state of the art and comparative study"
    - "towards linear time overlapping community detection in social networks"
    - "on the interplay between social and topical structure"
    - "empirical comparison of algorithms for network community detection"

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)