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: "emotional reactions and the pulse of public opinion measuring the impact of political events on the sentiment of online discussions"
  Abstract: This paper analyses changes in public opinion by tracking political discussions in which people voluntarily engage online. Unlike polls or surveys, our approach does not elicit opinions but approximates what the public thinks by analysing the discussions in which they decide to take part. We measure the emotional content of online discussions in three dimensions (valence, arousal and dominance), paying special attention to deviation around average values, which we use as a proxy for disagreement and polarisation. We show that this measurement of public opinion helps predict presidential approval rates, suggesting that there is a point of connection between online discussions (often deemed not representative of the overall population) and offline polls. We also show that this measurement provides a deeper understanding of the individual mechanisms that drive aggregated shifts in public opinion. Our data spans a period that includes two US presidential elections, the attacks of September 11, and the start of military action in Afghanistan and Iraq.

Connected through hyperedge HE-1 (induced by source paper "race and religion in online abuse towards uk politicians working paper"):
  with members:
    - "partisanship propaganda and post truth politics quantifying impact in online debate"
    - "online abuse of uk mps from 2015 to 2019 working paper"
    - "tweeting mps digital engagement between citizens and members of parliament in the uk"
    - "lipstick on a pig debiasing methods cover up systematic gender biases in word embeddings but do not remove them"
    - "adversarial removal of demographic attributes from text data"
    - "reducing gender bias in abusive language detection"
    - "gender bias in coreference resolution evaluation and debiasing methods"
    - "semantics derived automatically from language corpora contain human like biases"

Connected through hyperedge HE-2 (induced by source paper "online abuse of uk mps from 2015 to 2019 working paper"):
  with members:
    - "lipstick on a pig debiasing methods cover up systematic gender biases in word embeddings but do not remove them"
    - "a large scale crowdsourced analysis of abuse against women journalists and politicians on twitter"
    - "adversarial removal of demographic attributes from text data"
    - "reducing gender bias in abusive language detection"
    - "gender bias in coreference resolution evaluation and debiasing methods"
    - "on fairness and calibration"
    - "semantics derived automatically from language corpora contain human like biases"
    - "equality of opportunity in supervised learning"

Connected through hyperedge HE-3 (induced by source paper "online abuse of uk mps in 2015 and 2017 perpetrators targets and topics"):
  with members:
    - "ex machina personal attacks seen at scale"
    - "analyzing the targets of hate in online social media"
    - "antisocial behavior in online discussion communities"
    - "social media monitoring of the campaigns for the 2013 german bundestag elections on facebook and twitter"

Connected through hyperedge HE-4 (induced by source paper "social signals and algorithmic trading of bitcoin"):
  with members:
    - "traveling the silk road a measurement analysis of a large anonymous online marketplace"
    - "tracking traders understanding of the market using e communication data"
    - "twitter mood predicts the stock market"

Connected through hyperedge HE-5 (induced by source paper "patterns of emotional blogging and emergence of communities agent based model on bipartite networks"):
  with members:
    - "negative emotions boost user activity at bbc forum"
    - "bloggers behavior and emergent communities in blog space"
    - "measuring the happiness of large scale written expression songs blogs and presidents"

Connected through hyperedge HE-6 (induced by source paper "negative emotions boost user activity at bbc forum"):
  with members:
    - "bloggers behavior and emergent communities in blog space"
    - "human dynamics revealed through web analytics"

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.CY(Computers and Society)