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: "optimal finite length and asymptotic index codes for five or fewer receivers"
  Abstract: Index coding models broadcast networks in which a sender sends different messages to different receivers simultaneously, where each receiver may know some of the messages a priori. The aim is to find the minimum (normalized) index codelength that the sender sends. This paper considers unicast index coding, where each receiver requests exactly one message, and each message is requested by exactly one receiver. Each unicast index-coding instances can be fully described by a directed graph and vice versa, where each vertex corresponds to one receiver. For any directed graph representing a unicast index-coding instance, we show that if a maximum acyclic induced subgraph (MAIS) is obtained by removing two or fewer vertices from the graph, then the minimum index codelength equals the number of vertices in the MAIS, and linear codes are optimal for the corresponding index-coding instance. Using this result, we solved all unicast index-coding instances with up to five receivers, which correspond to all graphs with up to five vertices. For 9818 non-isomorphic graphs among all graphs up to five vertices, we obtained the minimum index codelength for all message alphabet sizes; for the remaining 28 graphs, we obtained the minimum index codelength if the message alphabet size is    $k^{2}$    for any positive integer    $k$   . This work complements the result by Arbabjolfaei  et al.  (ISIT 2013), who solved all unicast index-coding instances with up to five receivers in the asymptotic regime, where the message alphabet size tends to infinity.

Connected through hyperedge HE-1 (induced by source paper "cooperative multi sender index coding"):
  with members:
    - "interlinked cycles for index coding generalizing cycles and cliques"
    - "on the capacity for distributed index coding"
    - "the single uniprior index coding problem the single sender case and the multi sender extension"
    - "graph theoretic approaches to two sender index coding"
    - "distributed index coding"
    - "three stories on a two sided coin index coding locally recoverable distributed storage and guessing games on graphs"
    - "structural properties of index coding capacity using fractional graph theory"
    - "on a duality between recoverable distributed storage and index coding"

Connected through hyperedge HE-2 (induced by source paper "improved lower bounds for pliable index coding using absent receivers"):
  with members:
    - "optimal rate characterisation for pliable index coding using absent receivers"
    - "an information theoretic converse for the consecutive complete s picod problem"
    - "dynamic index coding for wireless broadcast networks"

Connected through hyperedge HE-3 (induced by source paper "structural characteristics of two sender index coding"):
  with members:
    - "cooperative multi sender index coding"
    - "optimal linear broadcast rates of the two sender unicast index coding problem with fully participated interactions"
    - "on the optimal broadcast rate of the two sender unicast index coding problem with fully participated interactions"
    - "optimal scalar linear codes for some classes of the two sender groupcast index coding problem"
    - "fundamental limits of decentralized data shuffling"
    - "interlinked cycles for index coding generalizing cycles and cliques"
    - "on the capacity for distributed index coding"
    - "the single uniprior index coding problem the single sender case and the multi sender extension"

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)