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: "characterizing and curating conversation threads expansion focus volume re entry"
  Abstract: Discussion threads form a central part of the experience on many Web sites, including social networking sites such as Facebook and Google Plus and knowledge creation sites such as Wikipedia. To help users manage the challenge of allocating their attention among the discussions that are relevant to them, there has been a growing need for the algorithmic curation of on-line conversations --- the development of automated methods to select a subset of discussions to present to a user. #R##N#Here we consider two key sub-problems inherent in conversational curation: length prediction --- predicting the number of comments a discussion thread will receive --- and the novel task of re-entry prediction --- predicting whether a user who has participated in a thread will later contribute another comment to it. The first of these sub-problems arises in estimating how interesting a thread is, in the sense of generating a lot of conversation; the second can help determine whether users should be kept notified of the progress of a thread to which they have already contributed. We develop and evaluate a range of approaches for these tasks, based on an analysis of the network structure and arrival pattern among the participants, as well as a novel dichotomy in the structure of long threads. We find that for both tasks, learning-based approaches using these sources of information yield improvements for all the performance metrics we used.

Connected through hyperedge HE-1 (induced by source paper "trouble on the horizon forecasting the derailment of online conversations as they develop"):
  with members:
    - "something s brewing early prediction of controversy causing posts from discussion features"
    - "forecasting the presence and intensity of hostility on instagram using linguistic and social features"
    - "the effect of extremist violence on hateful speech online"
    - "deep contextualized word representations"
    - "community interaction and conflict on the web"
    - "neural approaches to conversational ai"
    - "bert pre training of deep bidirectional transformers for language understanding"
    - "wikiconv a corpus of the complete conversational history of a large online collaborative community"

Connected through hyperedge HE-2 (induced by source paper "something s brewing early prediction of controversy causing posts from discussion features"):
  with members:
    - "bert pre training of deep bidirectional transformers for language understanding"
    - "attention is all you need"
    - "winning arguments interaction dynamics and persuasion strategies in good faith online discussions"
    - "google s neural machine translation system bridging the gap between human and machine translation"
    - "adam a method for stochastic optimization"
    - "controversy and sentiment in online news"
    - "distributed representations of words and phrases and their compositionality"
    - "predicting the popularity of online content"

Connected through hyperedge HE-3 (induced by source paper "joint effects of context and user history for predicting online conversation re entries"):
  with members:
    - "conversations gone awry detecting early signs of conversational failure"
    - "conversation modeling on reddit using a graph structured lstm"
    - "find the conversation killers a predictive study of thread ending posts"
    - "bidirectional attention flow for machine comprehension"
    - "end to end memory networks"
    - "effective approaches to attention based neural machine translation"
    - "adam a method for stochastic optimization"

Connected through hyperedge HE-4 (induced by source paper "an experimental study of structural diversity in social networks"):
  with members:
    - "the lifecycles of apps in a social ecosystem"
    - "popularity prediction in microblogging network a case study on sina weibo"
    - "virality prediction and community structure in social networks"
    - "social influence in social advertising evidence from field experiments"
    - "on the interplay between social and topical structure"

Connected through hyperedge HE-5 (induced by source paper "conversations gone awry detecting early signs of conversational failure"):
  with members:
    - "automated hate speech detection and the problem of offensive language"
    - "measuring gamergate a tale of hate sexism and bullying"
    - "asking too much the rhetorical role of questions in political discourse"
    - "anyone can become a troll causes of trolling behavior in online discussions"
    - "interpreting neural networks to improve politeness comprehension"
    - "a piece of my mind a sentiment analysis approach for online dispute detection"
    - "ex machina personal attacks seen at scale"
    - "conversational markers of constructive discussions"

Connected through hyperedge HE-6 (induced by source paper "coloring in the links capturing social ties as they are perceived"):
  with members:
    - "evolution of conversations in the age of email overload"
    - "reading the source code of social ties"
    - "collective phenomena and non finite state computation in a human social system"
    - "comparing and combining sentiment analysis methods"
    - "echoes of power language effects and power differences in social interaction"
    - "the slashdot zoo mining a social network with negative edges"

Connected through hyperedge HE-7 (induced by source paper "it s always april fools day on the difficulty of social network misinformation classification via propagation features"):
  with members:
    - "do cascades recur"
    - "debunking in a world of tribes"
    - "science vs conspiracy collective narratives in the age of misinformation"
    - "emotional dynamics in the age of misinformation"
    - "can cascades be predicted"
    - "viral misinformation the role of homophily and polarization"
    - "the role of social networks in information diffusion"

Connected through hyperedge HE-8 (induced by source paper "anyone can become a troll causes of trolling behavior in online discussions"):
  with members:
    - "a piece of my mind a sentiment analysis approach for online dispute detection"
    - "conversational markers of constructive discussions"
    - "conversational flow in oxford style debates"
    - "how community feedback shapes user behavior"

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)