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: "domination number and minimum dominating sets in pseudofractal scale free web and sierpinski graph"
  Abstract: Abstract   The minimum dominating set (MDS) problem is a fundamental subject of theoretical computer science, and has found vast applications in different areas, including sensor networks, protein interaction networks, and structural controllability. However, the determination of the size of a MDS and the number of all MDSs in a general network is NP-hard, and it thus makes sense to seek particular graphs for which the MDS problem can be solved analytically. In this paper, we study the MDS problem in the pseudofractal scale-free web and the Sierpinski graph, which have the same number of vertices and edges. For both networks, we determine explicitly the domination number, as well as the number of distinct MDSs. We show that the pseudofractal scale-free web has a unique MDS, and its domination number is only half of that for the Sierpinski graph, which has many MDSs. We argue that the scale-free topology is responsible for the difference of the size and number of MDSs between the two studied graphs, which in turn indicates that power-law degree distribution plays an important role in the MDS problem and its applications in scale-free networks.

Connected through hyperedge HE-1 (induced by source paper "scale free loopy structure is resistant to noise in consensus dynamics in complex networks"):
  with members:
    - "maximum matchings and minimum dominating sets in apollonian networks and extended tower of hanoi graphs"
    - "control principles of complex networks"
    - "diffusion based adaptive distributed detection steady state performance in the slow adaptation regime"
    - "consensus and coherence in fractal networks"
    - "network based consensus averaging with general noisy channels"

Connected through hyperedge HE-2 (induced by source paper "independence number and the number of maximum independent sets in pseudofractal scale free web and sierpi nski gasket"):
  with members:
    - "accelerating local search for the maximum independent set problem"
    - "on approximating maximum independent set of rectangles"
    - "finding near optimal independent sets at scale"

Connected through hyperedge HE-3 (induced by source paper "maximum matchings and minimum dominating sets in apollonian networks and extended tower of hanoi graphs"):
  with members:
    - "energy scaling of targeted optimal control of complex networks"
    - "on estimating maximum matching size in graph streams"
    - "maximum matchings in scale free networks with identical degree distribution"
    - "control principles of complex networks"
    - "efficient sub 5 approximations for minimum dominating sets in unit disk graphs"

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)