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 incompressible high order networks"):
  Abstract: This work presents a theoretical investigation of incompressible high order networks defined by a generalized graph representation. In particular, we study the incompressibility (i.e., algorithmic randomness) of snapshot-like dynamic networks in comparison to the incompressibility of a more general form of dynamic networks. In addition, we study some of their network topological properties and how these may be related to real-world complex networks. First, we show that incompressible snapshot networks carry an amount of topological information that is linearly dominated by the size of the set of time instants. This contrasts with the topological information carried by an incompressible general dynamic network that is on the quadratic order of the size of the set of time instants. Furthermore, incompressible dynamic networks, multilayered networks, or dynamic multilayered networks inherit most of the topological properties from their respective isomorphic graph. Hence, we show that these networks have very short diameter, high k-connectivity, degrees on the order of half of the network size within a strong-asymptotically dominated standard deviation, and rigidity in respect to automorphisms. Particularly, we show that incompressible dynamic networks (or dynamic multilayered) networks have transtemporal (or crosslayer) edges and, thus, its underlying structure may not correspond to many real-world dynamic networks, e.g., snapshot-like dynamic networks.

Includes members:
  Member "emergent open endedness from contagion of the fittest":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "on incompressible multidimensional networks")
  Member "low algorithmic complexity entropy deceiving graphs":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "the thermodynamics of network coding and an algorithmic refinement of the principle of maximum entropy")

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)