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: "user session identification based on strong regularities in inter activity time"
  Abstract: Session identification is a common strategy used to develop metrics for web analytics and behavioral analyses of user-facing systems. Past work has argued that session identification strategies based on an inactivity threshold is inherently arbitrary or advocated that thresholds be set at about 30 minutes. In this work, we demonstrate a strong regularity in the temporal rhythms of user initiated events across several different domains of online activity (incl. video gaming, search, page views and volunteer contributions). We describe a methodology for identifying clusters of user activity and argue that regularity with which these activity clusters appear implies a good rule-of-thumb inactivity threshold of about 1 hour. We conclude with implications that these temporal rhythms may have for system design based on our observations and theories of goal-directed human activity.

Connected through hyperedge HE-1 (induced by source paper "deep attentive study session dropout prediction in mobile learning environment"):
  with members:
    - "ednet a large scale hierarchical dataset in education"
    - "modelling sequential music track skips using a multi rnn approach"
    - "creating a neural pedagogical agent by jointly learning to review and assess"
    - "exploiting cognitive structure for adaptive learning"
    - "a self attentive model for knowledge tracing"
    - "predicting learning status in moocs using lstm"
    - "attention is all you need"
    - "delving deeper into mooc student dropout prediction"

Connected through hyperedge HE-2 (induced by source paper "dynamic search optimizing the game of information seeking"):
  with members:
    - "multi step retriever reader interaction for scalable open domain question answering"
    - "query tracking for e commerce conversational search a machine comprehension perspective"
    - "an algorithmic perspective on imitation learning"
    - "a reinforcement learning driven translation model for search oriented conversational systems"
    - "neural approaches to conversational ai"
    - "top k off policy correction for a reinforce recommender system"
    - "a click sequence model for web search"
    - "response ranking with deep matching networks and external knowledge in information seeking conversation systems"

Connected through hyperedge HE-3 (induced by source paper "characterizing and forecasting user engagement with in app action graph a case study of snapchat"):
  with members:
    - "i know you ll be back interpretable new user clustering and churn prediction on a mobile social application"
    - "i ll be back on the multiple lives of users of a mobile activity tracking application"
    - "semi supervised classification with graph convolutional networks"
    - "donor retention in online crowdfunding communities a case study of donorschoose org"
    - "moodbar increasing new user retention in wikipedia through lightweight socialization"

Connected through hyperedge HE-4 (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-5 (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-6 (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"
    - "evidence of online performance deterioration in user sessions on reddit"
    - "social dynamics of digg"
    - "information contagion an empirical study of the spread of news on digg and twitter social networks"

Connected through hyperedge HE-7 (induced by source paper "why we read wikipedia"):
  with members:
    - "improving website hyperlink structure using server logs"
    - "detecting memory and structure in human navigation patterns using markov chain models of varying order"

Connected through hyperedge HE-8 (induced by source paper "evidence of online performance deterioration in user sessions on reddit"):
  with members:
    - "the simple rules of social contagion"
    - "evolution of conversations in the age of email overload"
    - "online popularity and topical interests through the lens of instagram"
    - "evolution of reddit from the front page of the internet to a self referential community"
    - "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.HC(Human-Computer Interaction)