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: "reduction and fixed points of boolean networks and linear network coding solvability"
  Abstract: Linear network coding transmits data through networks by letting the intermediate nodes combine the messages they receive and forward the combinations towards their destinations. The solvability problem asks whether the demands of all the destinations can be simultaneously satisfied by using linear network coding. The guessing number approach converts this problem to determining the number of fixed points of coding functions $f:A^n\to A^n$ over a finite alphabet $A$ (usually referred to as Boolean networks if $A = \{0,1\}$) with a given interaction graph, that describes which local functions depend on which variables. In this paper, we generalise the so-called reduction of coding functions in order to eliminate variables. We then determine the maximum number of fixed points of a fully reduced coding function, whose interaction graph has a loop on every vertex. Since the reduction preserves the number of fixed points, we then apply these ideas and results to obtain four main results on the linear network coding solvability problem. First, we prove that non-decreasing coding functions cannot solve any more instances than routing already does. Second, we show that triangle-free undirected graphs are linearly solvable if and only if they are solvable by routing. This is the first classification result for the linear network coding solvability problem. Third, we exhibit a new class of non-linearly solvable graphs. Fourth, we determine large classes of strictly linearly solvable graphs.

Connected through hyperedge HE-1 (induced by source paper "on the influence of the interaction graph on a finite dynamical system"):
  with members:
    - "guessing numbers of odd cycles"
    - "simple dynamics on graphs"
    - "on the possible values of the entropy of undirected graphs"
    - "complete simulation of automata networks"
    - "fixed points of boolean networks guessing graphs and coding theory"
    - "graph theoretical constructions for graph entropy and network coding based communications"
    - "a simple necessary and sufficient condition for the double unicast problem"

Connected through hyperedge HE-2 (induced by source paper "asynchronous simulation of boolean networks by monotone boolean networks"):
  with members:
    - "fixed points of boolean networks guessing graphs and coding theory"
    - "negative circuits and sustained oscillations in asynchronous automata networks"

Connected through hyperedge HE-3 (induced by source paper "fixed points and connections between positive and negative cycles in boolean networks"):
  with members:
    - "fixed points of boolean networks guessing graphs and coding theory"
    - "fixed point theorems for boolean networks expressed in terms of forbidden subnetworks"
    - "negative circuits and sustained oscillations in asynchronous automata networks"
    - "positive circuits and maximal number of fixed points in discrete dynamical systems"

Connected through hyperedge HE-4 (induced by source paper "on the possible values of the entropy of undirected graphs"):
  with members:
    - "fixed points of boolean networks guessing graphs and coding theory"
    - "closure solvability for network coding and secret sharing"
    - "graph theoretical constructions for graph entropy and network coding based communications"
    - "positive circuits and maximal number of fixed points in discrete dynamical systems"

Connected through hyperedge HE-5 (induced by source paper "on the flora of asynchronous locally non monotonic boolean automata networks"):
  with members:
    - "fixed points of boolean networks guessing graphs and coding theory"
    - "full characterization of attractors for two intersected asynchronous boolean automata cycles"
    - "boolean networks synchronism sensitivity and xor circulant networks convergence time"
    - "synchronism vs asynchronism in boolean networks"

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.IT(Information Theory)