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: "evidence of online performance deterioration in user sessions on reddit"
  Abstract: This article presents evidence of performance deterioration in online user sessions quantified by studying a massive dataset containing over 55 million comments posted on Reddit in April 2015. After segmenting the sessions (i.e., periods of activity without a prolonged break) depending on their intensity (i.e., how many posts users produced during sessions), we observe a general decrease in the quality of comments produced by users over the course of sessions. We propose mixed-effects models that capture the impact of session intensity on comments, including their length, quality, and the responses they generate from the community. Our findings suggest performance deterioration: Sessions of increasing intensity are associated with the production of shorter, progressively less complex comments, which receive declining quality scores (as rated by other users), and are less and less engaging (i.e., they attract fewer responses). Our contribution evokes a connection between cognitive and attention dynamics and the usage of online social peer production platforms, specifically the effects of deterioration of user performance.

Connected through hyperedge HE-1 (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"
    - "the anatomy of reddit an overview of academic research"
    - "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"
    - "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-2 (induced by source paper "the anatomy of reddit an overview of academic research"):
  with members:
    - "modelling structure and predicting dynamics of discussion threads in online boards"
    - "the aftermath of disbanding an online hateful community"
    - "tracing community genealogy how new communities emerge from the old"
    - "community interaction and conflict on the web"
    - "caveat emptor computational social science large scale missing data in a widely published reddit corpus"
    - "on the origins of memes by means of fringe web communities"
    - "conversation modeling on reddit using a graph structured lstm"
    - "identifying the social signals that drive online discussions a case study of reddit communities"

Connected through hyperedge HE-3 (induced by source paper "measuring bot and human behavioral dynamics"):
  with members:
    - "the spread of low credibility content by social bots"
    - "ai powered social bots"
    - "contagion dynamics of extremist propaganda in social networks"
    - "disinformation and social bot operations in the run up to the 2017 french presidential election"
    - "discovery retrieval and analysis of star wars botnet in twitter"
    - "online human bot interactions detection estimation and characterization"
    - "predicting online extremism content adopters and interaction reciprocity"
    - "botivist calling volunteers to action using online bots"

Connected through hyperedge HE-4 (induced by source paper "can you trust the trend discovering simpson s paradoxes in social data"):
  with members:
    - "on quitting performance and practice in online game play"
    - "information is not a virus and other consequences of human cognitive limits"
    - "averaging gone wrong using time aware analyses to better understand behavior"
    - "the simple rules of social contagion"
    - "what stops social epidemics"

Connected through hyperedge HE-5 (induced by source paper "model of cognitive dynamics predicts performance on standardized tests"):
  with members:
    - "dynamics of content quality in collaborative knowledge production"
    - "the simple rules of social contagion"
    - "on entropy for mixtures of discrete and continuous variables"

Connected through hyperedge HE-6 (induced by source paper "the influence of social ties on performance in team based online games"):
  with members:
    - "non negative tensor factorization for human behavioral pattern mining in online games"
    - "performance dynamics and success in online games"
    - "dynamics of content quality in collaborative knowledge production"

Connected through hyperedge HE-7 (induced by source paper "computational social scientist beware simpson s paradox in behavioral data"):
  with members:
    - "can you trust the trend discovering simpson s paradoxes in social data"
    - "dynamics of content quality in collaborative knowledge production"
    - "information is not a virus and other consequences of human cognitive limits"
    - "averaging gone wrong using time aware analyses to better understand behavior"
    - "the simple rules of social contagion"
    - "portrait of an online shopper understanding and predicting consumer behavior"
    - "social dynamics of digg"
    - "what stops social epidemics"

Connected through hyperedge HE-8 (induced by source paper "consumers and curators browsing and voting patterns on reddit"):
  with members:
    - "predicting user interactions on reddit"
    - "rating effects on social news posts and comments"
    - "user session identification based on strong regularities in inter activity time"
    - "social dynamics of digg"
    - "information contagion an empirical study of the spread of news on digg and twitter social networks"

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)