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 possible values of the entropy of undirected graphs"):
  Abstract: The entropy of a digraph is a fundamental measure which relates network coding, information theory, and fixed points of finite dynamical systems. In this paper, we focus on the entropy of undirected graphs. We prove that for any integer $k$ the number of possible values of the entropy of an undirected graph up to $k$ is finite. We also determine all the possible values for the entropy of an undirected graph up to the value of four.

Includes members:
  Member "fixed points of boolean networks guessing graphs and coding theory":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "on the influence of the interaction graph on a finite dynamical system")
  Member "reduction and fixed points of boolean networks and linear network coding solvability":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "on the influence of the interaction graph on a finite dynamical system")
  Member "closure solvability for network coding and secret sharing":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "finite dynamical systems hat games and coding theory")
  Member "graph theoretical constructions for graph entropy and network coding based communications":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "characteristic dependent linear rank inequalities via complementary vector spaces")
  Member "positive circuits and maximal number of fixed points in discrete dynamical systems":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "relationship between the reprogramming determinants of boolean networks and their interaction graph")

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.IT(Information Theory)