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 anatomy of reddit an overview of academic research"
  Abstract: Online forums provide rich environments where users may post questions and comments about different topics. Understanding how people behave in online forums may shed light on the fundamental mechanisms by which collective thinking emerges in a group of individuals, but it has also important practical applications, for instance to improve user experience, increase engagement or automatically identify bullying. Importantly, the datasets generated by the activity of the users are often openly available for researchers, in contrast to other sources of data in computational social science. In this survey, we map the main research directions that arose in recent years and focus primarily on the most popular platform, Reddit. We distinguish and categorise research depending on their focus on the posts or on the users, and point to different types of methodologies to extract information from the structure and dynamics of the system. We emphasize the diversity and richness of the research in terms of questions and methods, and suggest future avenues of research.

Connected through hyperedge HE-1 (induced by source paper "ten social dimensions of conversations and relationships"):
  with members:
    - "firsthand opiates abuse on social media monitoring geospatial patterns of interest through a digital cohort"
    - "the language of dialogue is complex"
    - "coloring in the links capturing social ties as they are perceived"
    - "community interaction and conflict on the web"
    - "bert pre training of deep bidirectional transformers for language understanding"
    - "caveat emptor computational social science large scale missing data in a widely published reddit corpus"
    - "automated hate speech detection and the problem of offensive language"
    - "lstm a search space odyssey"

Connected through hyperedge HE-2 (induced by source paper "firsthand opiates abuse on social media monitoring geospatial patterns of interest through a digital cohort"):
  with members:
    - "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"
    - "navigating the massive world of reddit using backbone networks to map user interests in social media"

Connected through hyperedge HE-3 (induced by source paper "incentivized blockchain based social media platforms a case study of steemit"):
  with members:
    - "a puff of steem security analysis of decentralized content curation"
    - "deep neural networks for bot detection"
    - "consumers and curators browsing and voting patterns on reddit"
    - "science askscience and badscience on the coexistence of highly related communities"
    - "evidence of online performance deterioration in user sessions on reddit"
    - "the rise of social bots"
    - "all who wander on the prevalence and characteristics of multi community engagement"
    - "popularity and quality in social news aggregators a study of reddit and hacker news"

Connected through hyperedge HE-4 (induced by source paper "drifts and shifts characterizing the evolution of users interests on reddit"):
  with members:
    - "poprank ranking pages impact and users engagement on facebook"
    - "debunking in a world of tribes"
    - "all who wander on the prevalence and characteristics of multi community engagement"
    - "evolution of reddit from the front page of the internet to a self referential community"
    - "novelty and collective attention"

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)