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: "on the impact of geometry on ad hoc communication in wireless networks"
  Abstract: In this work we address the question how important is the knowledge of geometric location and network density to the efficiency of (distributed) wireless communication in ad hoc networks. We study fundamental communication task of broadcast and develop well-scalable, randomized algorithms that do not rely on GPS information, and which efficiency formulas do not depend on how dense the geometric network is. We consider two settings: with and without spontaneous wake-up of nodes. In the former setting, in which all nodes start the protocol at the same time, our algorithm accomplishes broadcast in $O(D\log n + \log^2 n)$ rounds under the SINR model, with high probability (whp), where $D$ is the diameter of the communication graph and $n$ is the number of stations. In the latter setting, in which only the source node containing the original message is active in the beginning, we develop a slightly slower algorithm working in $O(D\log^2 n)$ rounds whp. Both algorithms are based on a novel distributed coloring method, which is of independent interest and potential applicability to other communication tasks under the SINR wireless model.

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"
    - "distributed communication in bare bones wireless networks"
    - "almost optimal cover free families"
    - "beyond geometry towards fully realistic wireless models"
    - "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 digital clustering of wireless ad hoc networks"):
  with members:
    - "a local broadcast layer for the sinr network model"
    - "how well can graphs represent wireless interference"
    - "batched point location in sinr diagrams via algebraic tools"
    - "competitive mac under adversarial sinr"
    - "distributed deterministic broadcasting in uniform power ad hoc wireless networks"
    - "towards tight bounds for local broadcasting"
    - "a constant factor approximation for wireless capacity maximization with power control in the sinr model"
    - "deploying wireless networks with beeps"

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"
    - "distributed communication in bare bones wireless networks"
    - "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"

Connected through hyperedge HE-4 (induced by source paper "the cost of global broadcast in dynamic radio networks"):
  with members:
    - "multi message broadcast in dynamic radio networks"
    - "dynamic multiple message broadcast bounding throughput in the affectance model"
    - "multi message broadcast with abstract mac layers and unreliable links"
    - "radio network lower bounds made easy"
    - "distributed connectivity decomposition"
    - "a new perspective on vertex connectivity"
    - "analyzing network coding gossip made easy"

Connected through hyperedge HE-5 (induced by source paper "leveraging multiple channels in ad hoc networks"):
  with members:
    - "distributed deterministic broadcasting in uniform power ad hoc wireless networks"
    - "distributed connectivity of wireless networks"
    - "towards tight bounds for local broadcasting"
    - "nearly optimal bounds for distributed wireless scheduling in the sinr model"
    - "wireless connectivity and capacity"
    - "wireless scheduling with power control"

Connected through hyperedge HE-6 (induced by source paper "the price of local power control in wireless scheduling"):
  with members:
    - "how well can graphs represent wireless interference"
    - "beyond geometry towards fully realistic wireless models"
    - "wireless scheduling algorithms in complex environments"
    - "approximation algorithms for wireless link scheduling with flexible data rates"
    - "the power of non uniform wireless power"
    - "towards tight bounds for local broadcasting"
    - "on the complexity of the minimum latency scheduling problem on the euclidean plane"
    - "algorithms for wireless capacity"

Connected through hyperedge HE-7 (induced by source paper "a local broadcast layer for the sinr network model"):
  with members:
    - "multi message broadcast with abstract mac layers and unreliable links"
    - "consensus with an abstract mac layer"
    - "randomized broadcast in radio networks with collision detection"
    - "a bound on the throughput of radio networks"
    - "bounds on contention management in radio networks"
    - "distributed connectivity of wireless networks"
    - "the power of non uniform wireless power"
    - "towards tight bounds for local broadcasting"

Connected through hyperedge HE-8 (induced by source paper "distributed bare bones communication in wireless networks"):
  with members:
    - "multi broadcasting under the sinr model"
    - "beyond geometry towards fully realistic wireless models"
    - "distributed deterministic broadcasting in uniform power ad hoc 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)