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: "modelling politics in requirements engineering adding emoji to existing notations"
  Abstract: Notwithstanding several authors have recognised the conceptual key of "politics" as an important component in any Require-ments Engineering (RE) process, practitioners still lack a prag-matic answer on how to deal with the political dimension: such an ability has become a mostly desirable but totally undetailed part of what we usually and vaguely refer to as "professional experience". Nor were practitioners given any suitable tool or method to easily detect, represent, control and if possible leverage politics. Authors argue that this issue could be successfully ad-dressed and resolved if, when we map organisations against the system to be developed, we include power and politics in their "too human" and even emotional dimension. A simple way to do so is to use emoji pictograms: most of them are part of a universal language, which requirements engineers could easily adopt and exploit to assess and produce models that include an extra layer of "political" information, without the need to actually introduce any new notation. A few examples of emoji-aware UML and organisational charts are hereby proposed, more as a platform to support communication and share reflections on how to deal with politics than as an actual technology to be adopted.

Connected through hyperedge HE-1 (induced by source paper "modelling the political context in requirements engineering the system is made for man not man for the system"):
  with members:
    - "fifty years of software engineering or the view from garmisch"

Connected through hyperedge HE-2 (induced by source paper "a first look at emoji usage on github an empirical study"):
  with members:
    - "through a gender lens learning usage patterns of emojis from large scale android users"
    - "twitter sentiment analysis via bi sense emoji embedding and attention based lstm"
    - "spice up your chat the intentions and sentiment effects of using emoji"
    - "emoticons vs emojis on twitter a causal inference approach"
    - "sentiment of emojis"
    - "the role of emotions in contributors activity a case study on the gentoo community"

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.SE(Software Engineering)