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: "omg u got flu analysis of shared health messages for bio surveillance"
  Abstract: Background#R##N#Micro-blogging services such as Twitter offer the potential to crowdsource epidemics in real-time. However, Twitter posts (‘tweets’) are often ambiguous and reactive to media trends. In order to ground user messages in epidemic response we focused on tracking reports of self-protective behaviour such as avoiding public gatherings or increased sanitation as the basis for further risk analysis.

Connected through hyperedge HE-1 (induced by source paper "using natural language processing to extract health related causality from twitter messages"):
  with members:
    - "how do you relax when you re stressed a content analysis and infodemiology study of stress related tweets"
    - "automatic extraction of causal relations from natural language texts a comprehensive survey"
    - "enhancing twitter data analysis with simple semantic filtering example in tracking influenza like illnesses"
    - "syndromic classification of twitter messages"

Connected through hyperedge HE-2 (induced by source paper "identifying purpose behind electoral tweets"):
  with members:
    - "nrc canada building the state of the art in sentiment analysis of tweets"
    - "crowdsourcing a word emotion association lexicon"
    - "i wanted to predict elections with twitter and all i got was this lousy paper a balanced survey on election prediction using twitter data"
    - "thumbs up sentiment classification using machine learning techniques"

Connected through hyperedge HE-3 (induced by source paper "detecting events and patterns in large scale user generated textual streams with statistical learning methods"):
  with members:
    - "on voting intentions inference from twitter content a case study on uk 2010 general election"
    - "an analysis of twitter messages in the 2011 tohoku earthquake"
    - "twitter mood predicts the stock market"
    - "detecting influenza outbreaks by analyzing twitter messages"
    - "bolasso model consistent lasso estimation through the bootstrap"
    - "social networks that matter twitter under the microscope"

Connected through hyperedge HE-4 (induced by source paper "enhancing twitter data analysis with simple semantic filtering example in tracking influenza like illnesses"):
  with members:
    - "detecting influenza outbreaks by analyzing twitter messages"

Connected through hyperedge HE-5 (induced by source paper "an analysis of twitter messages in the 2011 tohoku earthquake"):
  with members:
    - "syndromic classification of twitter messages"
    - "twitter mood predicts the stock market"

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.CL(Computation and Language)