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: "multi hop cooperative wireless networks diversity multiplexing tradeoff and optimal code design"
  Abstract: We consider single-source single-sink (ss-ss) multi-hop relay networks, with slow-fading links and single-antenna#R##N#half-duplex relay nodes. While two-hop cooperative relay networks have been studied in great detail in terms of#R##N#the diversity-multiplexing tradeoff (DMT), few results are available for more general networks. In this paper, we#R##N#identify two families of networks that are multi-hop generalizations of the two-hop network: K-Parallel-Path (KPP)networks and layered networks.KPP networks, can be viewed as the union of K node-disjoint parallel relaying paths, each of length greater than one. KPP networks are then generalized to KPP(I) networks, which permit interference between paths and to KPP(D) networks, which possess a direct link from source to sink. We characterize the DMT of these families of networks completely for K > 3. Layered networks are networks comprising of layers of relays with edges existing only between adjacent layers, with more than one relay in each layer. We prove that a linear DMT between the maximum diversity dmax and the maximum multiplexing gain of 1 is achievable for single-antenna fully-connected layered networks. This is shown to be equal to the optimal DMT if the number of relaying layers is less than 4.For multiple-antenna KPP and layered networks, we provide an achievable DMT, which is significantly better than known lower bounds for half duplex networks.For arbitrary multi-terminal wireless networks with multiple source-sink pairs, the maximum achievable diversity is shown to be equal to the min-cut between the corresponding source and the sink, irrespective of whether the network has half-duplex or full-duplex relays. For arbitrary ss-ss single-antenna directed acyclic networks with full-duplex relays, we prove that a linear tradeoff between maximum diversity and maximum multiplexing gain is achievable.Along the way, we derive the optimal DMT of a generalized parallel channel and derive lower bounds for the DMT of triangular channel matrices, which are useful in DMT computation of various protocols. We also give#R##N#alternative and often simpler proofs of several existing results and show that codes achieving full diversity on a#R##N#MIMO Rayleigh fading channel achieve full diversity on arbitrary fading channels. All protocols in this paper are#R##N#explicit and use only amplify-and-forward (AF) relaying. We also construct codes with short block-lengths based#R##N#on cyclic division algebras that achieve the optimal DMT for all the proposed schemes.Two key implications of the results in the paper are that the half-duplex constraint does not entail any rate loss for a large class of cooperative networks and that simple AF protocols are often sufficient to attain the optimal DMT

Connected through hyperedge HE-1 (induced by source paper "multiplexing gain of amplify forward relaying in wireless multi antenna relay networks"):
  with members:
    - "wireless network information flow a deterministic approach"
    - "dmt of multi hop cooperative networks part i basic results"
    - "on the diversity multiplexing tradeoff in multiple relay network"
    - "approximate capacity of gaussian relay networks"
    - "asymptotic analysis of amplify and forward relaying in a parallel mimo relay network"
    - "wireless network information flow"
    - "towards the optimal amplify and forward cooperative diversity scheme"
    - "optimal space time codes for the mimo amplify and forward cooperative channel"

Connected through hyperedge HE-2 (induced by source paper "multilevel coding over two hop single user networks"):
  with members:
    - "diversity multiplexing tradeoff of the half duplex relay channel"
    - "on the capacity of wireless multicast networks"
    - "asymptotic analysis of amplify and forward relaying in a parallel mimo relay network"
    - "towards the optimal amplify and forward cooperative diversity scheme"

Connected through hyperedge HE-3 (induced by source paper "diversity multiplexing tradeoff in multi antenna multi relay networks improvements and some optimality results"):
  with members:
    - "approximate capacity of gaussian relay networks"
    - "a simple cooperative diversity method based on network path selection"
    - "optimal space time codes for the mimo amplify and forward cooperative channel"

Connected through hyperedge HE-4 (induced by source paper "dmt of multi hop cooperative networks part i basic results"):
  with members:
    - "diversity and degrees of freedom of cooperative wireless networks"
    - "to code or not to code in multi hop relay channels"
    - "dmt of multi hop cooperative networks part ii half duplex networks with full duplex performance"
    - "the case for structured random codes in network capacity theorems"
    - "approximate capacity of gaussian relay networks"
    - "a deterministic approach to wireless relay networks"
    - "interference alignment on the deterministic channel and application to fully connected awgn interference networks"
    - "approximately universal space time codes for the parallel multi block and cooperative dynamic decode and forward channels"

Connected through hyperedge HE-5 (induced by source paper "cascaded orthogonal space time block codes for wireless multi hop relay networks"):
  with members:
    - "dmt of multi hop cooperative networks part ii half duplex networks with full duplex performance"
    - "algebraic distributed space time codes with low ml decoding complexity"
    - "diversity of mimo multihop relay channels"
    - "a non orthogonal distributed space time coded protocol part i signal model and design criteria"
    - "a non orthogonal distributed space time coded protocol part ii code construction and dm g tradeoff"
    - "optimal space time codes for the mimo amplify and forward cooperative channel"
    - "approximately universal optimality over several dynamic and non dynamic cooperative diversity schemes for wireless networks"

Connected through hyperedge HE-6 (induced by source paper "diversity and degrees of freedom of cooperative wireless networks"):
  with members:
    - "approximate capacity of gaussian relay networks"
    - "a deterministic approach to wireless relay networks"
    - "diversity of mimo multihop relay channels"
    - "interference alignment on the deterministic channel and application to fully connected awgn interference networks"
    - "wireless network information flow"
    - "interference alignment and the degrees of freedom for the k user interference channel"
    - "optimal space time codes for the mimo amplify and forward cooperative channel"

Connected through hyperedge HE-7 (induced by source paper "to code or not to code in multi hop relay channels"):
  with members:
    - "relay subset selection in wireless networks using partial decode and forward transmission"
    - "diversity of mimo multihop relay channels"
    - "performance bounds for bi directional coded cooperation protocols"
    - "a simple cooperative diversity method based on network path selection"
    - "optimal space time codes for the mimo amplify and forward cooperative channel"
    - "approximately universal codes over slow fading channels"

Connected through hyperedge HE-8 (induced by source paper "on the diversity multiplexing tradeoff in multiple relay network"):
  with members:
    - "a deterministic approach to wireless relay networks"
    - "asymptotic analysis of amplify and forward relaying in a parallel mimo relay network"
    - "crystallization in large wireless networks"
    - "optimum diversity multiplexing tradeoff in the multiple relays network"
    - "a simple cooperative diversity method based on network path selection"
    - "towards the optimal amplify and forward cooperative diversity scheme"

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)