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 "compression and the origins of zipf s law of abbreviation"):
  Abstract: Languages across the world exhibit Zipf's law of abbreviation, namely more frequent words tend to be shorter. The generalized version of the law - an inverse relationship between the frequency of a unit and its magnitude - holds also for the behaviours of other species and the genetic code. The apparent universality of this pattern in human language and its ubiquity in other domains calls for a theoretical understanding of its origins. To this end, we generalize the information theoretic concept of mean code length as a mean energetic cost function over the probability and the magnitude of the types of the repertoire. We show that the minimization of that cost function and a negative correlation between probability and the magnitude of types are intimately related.

Includes members:
  Member "rank diversity of languages generic behavior in computational linguistics":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "guiding the self organization of cyber physical systems")
  Member "be careful when assuming the obvious commentary on the placement of the head that minimizes online memory a complex systems approach":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "reply to the commentary be careful when assuming the obvious by p alday")
  Member "a stronger null hypothesis for crossing dependencies":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "edge crossings in random linear arrangements")
  Member "the optimality of attaching unlinked labels to unlinked meanings":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "the origins of zipf s meaning frequency law")
  Member "the placement of the head that minimizes online memory a complex systems approach":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "optimal coding and the origins of zipfian laws")

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)