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: "network coding is zero error always possible"
  Abstract: In this work we study zero vs. epsilon-error capacity in network coding instances. For multicast network coding it is well known that all rates that can be delivered with arbitrarily small error probability can also be delivered with zero error probability; that is, the epsilon-error multicast capacity region and zero-error multicast capacity region are identical. For general network coding instances in which all sources originate at the same source node, Chan and Grant recently showed [ISIT 2010] that, again, epsilon-error communication has no rate advantage over zero-error communication. #R##N#We start by revisiting the setting of co-located sources, where we present an alternative proof to that given by Chan and Grant. While the new proof is based on similar core ideas, our constructive strategy complements the previous argument.We then extend our results to the setting of index coding, which is a special and representative form of network coding that encapsulates the "source coding with side information" problem. Finally, we consider the "edge removal" problem (recently studied by Jalali, Effros, and Ho in [Allerton 2010] and [ITA 2011]) that aims to quantify the loss in capacity associated with removing a single edge from a given network. Using our proof for co-located sources, we tie the "zero vs. epsilon-error" problem in general network coding instances with the "edge removal" problem. Loosely speaking, we show that the two problem are equivalent.

Connected through hyperedge HE-1 (induced by source paper "lossless source coding in the point to point multiple access and random access scenarios"):
  with members:
    - "random access channel coding in the finite blocklength regime"
    - "on the calculation of the minimax converse of the channel coding problem"
    - "on the dispersions of three network information theory problems"
    - "variable length compression allowing errors"
    - "random access an information theoretic perspective"
    - "lossy joint source channel coding in the finite blocklength regime"
    - "second order slepian wolf coding theorems for non mixed and mixed sources"
    - "fixed length lossy compression in the finite blocklength regime"

Connected through hyperedge HE-2 (induced by source paper "a local perspective on the edge removal problem"):
  with members:
    - "a class of non linearly solvable networks"
    - "on the impact of a single edge on the network coding capacity"
    - "network coding capacity regions via entropy functions"
    - "lexicographic products and the power of non linear network coding"
    - "dualities between entropy functions and network codes"

Connected through hyperedge HE-3 (induced by source paper "negligible cooperation contrasting the maximal and average error cases"):
  with members:
    - "strong converses are just edge removal properties"
    - "on the impact of a single edge on the network coding capacity"
    - "on the capacity advantage of a single bit"
    - "fundamental limits of communication with low probability of detection"

Connected through hyperedge HE-4 (induced by source paper "harnessing correlations in distributed erasure coded key value stores"):
  with members:
    - "on coding for cache aided delivery of dynamic correlated content"
    - "storage efficient shared memory emulation"
    - "a layered architecture for erasure coded consistent distributed storage"
    - "multi version coding for consistent distributed storage of correlated data updates"
    - "communication cost for updating linear functions when message updates are sparse connections to maximally recoverable codes"
    - "correlation aware distributed caching and coded delivery"
    - "information theoretic lower bounds on the storage cost of shared memory emulation"
    - "multi version coding an information theoretic perspective of consistent distributed storage"

Connected through hyperedge HE-5 (induced by source paper "capacity theorems for distributed index coding"):
  with members:
    - "cooperative multi sender index coding"
    - "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"
    - "on the capacity region for index coding"
    - "index coding capacity how far can one go with only shannon inequalities"
    - "local graph coloring and index coding"

Connected through hyperedge HE-6 (induced by source paper "can negligible cooperation increase network capacity the average error case"):
  with members:
    - "strong converses are just edge removal properties"
    - "on the impact of a single edge on the network coding capacity"
    - "on the capacity advantage of a single bit"

Connected through hyperedge HE-7 (induced by source paper "topological interference management with decoded message passing"):
  with members:
    - "on the impact of a single edge on the network coding capacity"
    - "tdma is optimal for all unicast dof region of tim if and only if topology is chordal bipartite"
    - "fractional coloring orthogonal access achieves all unicast capacity dof region of index coding tim if and only if network topology is chordal"
    - "on critical index coding problems"
    - "when does an ensemble of matrices with randomly scaled rows lose rank"
    - "topological interference management with transmitter cooperation"
    - "topological interference management through index coding"
    - "cognitive wyner networks with clustered decoding"

Connected through hyperedge HE-8 (induced by source paper "optimal finite length and asymptotic index codes for five or fewer receivers"):
  with members:
    - "interlinked cycles for index coding generalizing cycles and cliques"
    - "the single uniprior index coding problem the single sender case and the multi sender extension"
    - "a rate distortion approach to index coding"
    - "a new class of index coding instances where linear coding is optimal"
    - "critical graphs in index coding"
    - "on the capacity region for index coding"
    - "duality codes and the integrality gap bound for index coding"
    - "local graph coloring and index coding"

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)