human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "on the controllability of clustered scale free networks"):
  Abstract: In this paper, we compare the number of unmatched nodes and the size of dilations in two main random network models, the Scale-Free and Clustered Scale-Free networks. The number of unmatched nodes determines the necessary number of control inputs and is known to be a measure for network controllability, while the size of dilation is a measure of controllability recovery in case of control input failure. Our results show that clustered version of Scale-Free networks require fewer control inputs for controllability. Further, the average size of dilations is smaller in clustered Scale-Free networks, implying that potentially fewer options for controllability recovery are available.

Includes members:
  Member "cyber social systems modeling inference and optimal design":
    also connected through other hyperedges:
      (none)
  Member "distributed estimation recovery under sensor failure":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "cyber social systems modeling inference and optimal design")
  Member "controllability of social networks and the strategic use of random information":
    also connected through other hyperedges:
      (none)
  Member "observational equivalence in system estimation contractions in complex networks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "cyber social systems modeling inference and optimal design")
  Member "control principles of complex networks":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "nonlinearity networks a 2020 vision")
  Member "measurement partitioning and observational equivalence in state estimation":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "cyber social systems modeling inference and optimal design")
  Member "graph theoretic distributed inference in social networks":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "cyber social systems modeling inference and optimal design")
  Member "on the genericity properties in distributed estimation topology design and sensor placement":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "cyber social systems modeling inference and optimal design")

Question: Please tell me which class the source paper 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.SY(Systems and Control)