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: "wikipedia mining of hidden links between political leaders"
  Abstract: We describe a new method of reduced Google matrix which allows to establish direct and hidden links between a subset of nodes of a large directed network. This approach uses parallels with quantum scattering theory, developed for processes in nuclear and mesoscopic physics and quantum chaos. The method is applied to the Wikipedia networks in different language editions analyzing several groups of political leaders of USA, UK, Germany, France, Russia and G20. We demonstrate that this approach allows to recover reliably direct and hidden links among political leaders. We argue that the reduced Google matrix method can form the mathematical basis for studies in social and political sciences analyzing Leader-Members eXchange (LMX).

Connected through hyperedge HE-1 (induced by source paper "world influence and interactions of universities from wikipedia networks"):
  with members:
    - "capturing the influence of geopolitical ties from wikipedia with reduced google matrix"
    - "analysis of world terror networks from the reduced google matrix of wikipedia"
    - "robust clustering of languages across wikipedia growth"
    - "wikiometrics a wikipedia based ranking system"
    - "wikipedia ranking of world universities"
    - "interactions of cultures and top people of wikipedia from ranking of 24 language editions"
    - "on the internal dynamics of the shanghai ranking"
    - "towards physical laws for software architecture"

Connected through hyperedge HE-2 (induced by source paper "what is the central bank of wikipedia"):
  with members:
    - "world influence and interactions of universities from wikipedia networks"
    - "multi cultural wikipedia mining of geopolitics interactions leveraging reduced google matrix analysis"
    - "programming cuda and opencl a case study using modern c libraries"
    - "towards physical laws for software architecture"

Connected through hyperedge HE-3 (induced by source paper "capturing the influence of geopolitical ties from wikipedia with reduced google matrix"):
  with members:
    - "multi cultural wikipedia mining of geopolitics interactions leveraging reduced google matrix analysis"
    - "wikipedia ranking of world universities"
    - "interactions of cultures and top people of wikipedia from ranking of 24 language editions"
    - "highlighting entanglement of cultures via ranking of multilingual wikipedia articles"
    - "towards physical laws for software architecture"
    - "two dimensional ranking of wikipedia articles"

Connected through hyperedge HE-4 (induced by source paper "analysis of world terror networks from the reduced google matrix of wikipedia"):
  with members:
    - "multi cultural wikipedia mining of geopolitics interactions leveraging reduced google matrix analysis"
    - "even good bots fight the case of wikipedia"
    - "robust clustering of languages across wikipedia growth"
    - "wikipedia ranking of world universities"
    - "interactions of cultures and top people of wikipedia from ranking of 24 language editions"

Connected through hyperedge HE-5 (induced by source paper "multi cultural wikipedia mining of geopolitics interactions leveraging reduced google matrix analysis"):
  with members:
    - "wikipedia ranking of world universities"
    - "highlighting entanglement of cultures via ranking of multilingual wikipedia articles"
    - "towards physical laws for software architecture"
    - "two dimensional ranking of wikipedia articles"

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)