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: "distributed communication in bare bones wireless networks"
  Abstract: We consider wireless networks in which the effects of interference are determined by the SINR model. We address the question of structuring distributed communication when stations have very limited individual capabilities. In particular, nodes do not know their geographic coordinates, neighborhoods or even the size~$n$ of the network, nor can they sense collisions. Each node is equipped only with its unique name from a range $\{1, \dots, N\}$. We study the following three settings and distributed algorithms for communication problems in each of them. In the uncoordinated-start case, when one node starts an execution and other nodes are awoken by receiving messages from already awoken nodes, we present a randomized broadcast algorithm which wakes up all the nodes in $O(n \log^2 N)$ rounds with high probability. In the synchronized-start case, when all the nodes simultaneously start an execution, we give a randomized algorithm that computes a backbone of the network in $O(\Delta\log^{7} N)$ rounds with high probability. Finally, in the partly-coordinated-start case, when a number of nodes start an execution together and other nodes are awoken by receiving messages from the already awoken nodes, we develop an algorithm that creates a backbone network in time $O(n\log^2 N +\Delta\log^{7} N)$ with high probability.

Connected through hyperedge HE-1 (induced by source paper "deterministic protocols in the sinr model without knowledge of coordinates"):
  with members:
    - "achieving dilution without knowledge of coordinates in the sinr model"
    - "deterministic backbone creation in an sinr network without knowledge of location"
    - "multi broadcasting under the sinr model"
    - "almost optimal cover free families"
    - "beyond geometry towards fully realistic wireless models"
    - "on the impact of geometry on ad hoc communication in wireless networks"
    - "distributed deterministic broadcasting in uniform power ad hoc wireless networks"
    - "towards tight bounds for local broadcasting"

Connected through hyperedge HE-2 (induced by source paper "deterministic backbone creation in an sinr network without knowledge of location"):
  with members:
    - "achieving dilution without knowledge of coordinates in the sinr model"
    - "deterministic protocols in the sinr model without knowledge of coordinates"
    - "distributed bare bones communication in wireless networks"
    - "multi broadcasting under the sinr model"
    - "almost optimal cover free families"
    - "distributed deterministic broadcasting in wireless networks under the sinr model"

Connected through hyperedge HE-3 (induced by source paper "data dissemination in unified dynamic wireless networks"):
  with members:
    - "leveraging multiple channels in ad hoc networks"
    - "distributed bare bones communication in wireless networks"
    - "a local broadcast layer for the sinr network model"
    - "multi message broadcast with abstract mac layers and unreliable links"
    - "randomized broadcast in radio networks with collision detection"
    - "beyond geometry towards fully realistic wireless models"
    - "radio network lower bounds made easy"
    - "on the impact of geometry on ad hoc communication in wireless 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.DC(Distributed, Parallel, and Cluster Computing)