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: "i wish i didn t say that analyzing and predicting deleted messages in twitter"
  Abstract: Twitter has become a major source of data for social media researchers. One important aspect of Twitter not previously considered are {\em deletions} -- removal of tweets from the stream. Deletions can be due to a multitude of reasons such as privacy concerns, rashness or attempts to undo public statements. We show how deletions can be automatically predicted ahead of time and analyse which tweets are likely to be deleted and how.

Connected through hyperedge HE-1 (induced by source paper "forex trading and twitter spam bots and reputation manipulation"):
  with members:
    - "how to evaluate sentiment classifiers for twitter time ordered data"
    - "twitter sentiment around the earnings announcement events"
    - "multilingual twitter sentiment classification the role of human annotators"
    - "the effects of twitter sentiment on stock price returns"

Connected through hyperedge HE-2 (induced by source paper "a longitudinal assessment of the persistence of twitter datasets"):
  with members:
    - "detection and resolution of rumours in social media a survey"
    - "big questions for social media big data representativeness validity and other methodological pitfalls"

Connected through hyperedge HE-3 (induced by source paper "out of vocabulary words decrease running texts prevail and hashtags coalesce twitter as an evolving sociolinguistic system"):
  with members:
    - "bigbirds never die understanding social dynamics of emergent hashtag"
    - "virality prediction and community structure in social networks"
    - "mark my words linguistic style accommodation in social media"

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)