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: "dynamics of content quality in collaborative knowledge production"
  Abstract: We explore the dynamics of user performance in collaborative knowledge production by studying the quality of answers to questions posted on Stack Exchange. We propose four indicators of answer quality: answer length, the number of code lines and hyperlinks to external web content it contains, and whether it is accepted by the asker as the most helpful answer to the question. Analyzing millions of answers posted over the period from 2008 to 2014, we uncover regular short-term and long-term changes in quality. In the short-term, quality deteriorates over the course of a single session, with each successive answer becoming shorter, with fewer code lines and links, and less likely to be accepted. In contrast, performance improves over the long-term, with more experienced users producing higher quality answers. These trends are not a consequence of data heterogeneity, but rather have a behavioral origin. Our findings highlight the complex interplay between short-term deterioration in performance, potentially due to mental fatigue or attention depletion, and long-term performance improvement due to learning and skill acquisition, and its impact on the quality of user-generated content.

Connected through hyperedge HE-1 (induced by source paper "quantifying the impact of cognitive biases in question answering systems"):
  with members:
    - "information overload in group communication from conversation to cacophony in the twitch chat"
    - "sequential voting promotes collective discovery in social recommendation systems"
    - "the myopia of crowds a study of collective evaluation on stack exchange"
    - "random voting effects in social digital spaces a case study of reddit post submissions"

Connected through hyperedge HE-2 (induced by source paper "the size conundrum why online knowledge markets can fail at scale"):
  with members:
    - "community aliveness discovering interaction decay patterns in online social communities"
    - "uncovering the dynamics of crowdlearning and the value of knowledge"
    - "wisdom of the crowd or wisdom of a few an analysis of users content generation"
    - "activity dynamics in collaboration networks"
    - "social resilience in online communities the autopsy of friendster"

Connected through hyperedge HE-3 (induced by source paper "model of cognitive dynamics predicts performance on standardized tests"):
  with members:
    - "evidence of online performance deterioration in user sessions on reddit"
    - "the simple rules of social contagion"
    - "on entropy for mixtures of discrete and continuous variables"

Connected through hyperedge HE-4 (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"
    - "evidence of online performance deterioration in user sessions on reddit"

Connected through hyperedge HE-5 (induced by source paper "using simpson s paradox to discover interesting patterns in behavioral data"):
  with members:
    - "can you trust the trend discovering simpson s paradoxes in social data"
    - "computational social scientist beware simpson s paradox in behavioral data"

Connected through hyperedge HE-6 (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"
    - "information is not a virus and other consequences of human cognitive limits"
    - "evidence of online performance deterioration in user sessions on reddit"
    - "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-7 (induced by source paper "performance dynamics and success in online games"):
  with members:
    - "non negative tensor factorization for human behavioral pattern mining in online games"
    - "evidence of online performance deterioration in user sessions on reddit"
    - "online popularity and topical interests through the lens of instagram"

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)