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: "exponential separations in the energy complexity of leader election"
  Abstract: Energy is often the most constrained resource for battery-powered wireless devices and the lion's share of energy is often spent on transceiver usage (sending/receiving packets), not on computation. In this paper we study the energy complexity of LeaderElection and ApproximateCounting in several models of wireless radio networks. It turns out that energy complexity is very sensitive to whether the devices can generate random bits and their ability to detect collisions. We consider four collision-detection models: Strong-CD (in which transmitters and listeners detect collisions), Sender-CD and Receiver-CD (in which only transmitters or only listeners detect collisions), and No-CD (in which no one detects collisions.) #R##N#The take-away message of our results is quite surprising. For randomized LeaderElection algorithms, there is an exponential gap between the energy complexity of Sender-CD and Receiver-CD, and for deterministic LeaderElection algorithms there is another exponential gap, but in the reverse direction. #R##N#In particular, the randomized energy complexity of LeaderElection is $\Theta(\log^* n)$ in Sender-CD but $\Theta(\log(\log^* n))$ in Receiver-CD, where $n$ is the (unknown) number of devices. Its deterministic complexity is $\Theta(\log N)$ in Receiver-CD but $\Theta(\log\log N)$ in Sender-CD, where $N$ is the (known) size of the devices' ID space. #R##N#There is a tradeoff between time and energy. We give a new upper bound on the time-energy tradeoff curve for randomized LeaderElection and ApproximateCounting. A critical component of this algorithm is a new deterministic LeaderElection algorithm for dense instances, when $n=\Theta(N)$, with inverse-Ackermann-type ($O(\alpha(N))$) energy complexity.

Connected through hyperedge HE-1 (induced by source paper "competitive broadcast against adaptive adversary in multi channel radio networks"):
  with members:
    - "fast and resource competitive broadcast in multi channel radio networks"
    - "the energy complexity of broadcast"
    - "exploiting spontaneous transmissions for broadcasting and leader election in radio networks"
    - "interactive communication with unknown noise rate"
    - "randomized broadcast in radio networks with collision detection"
    - "making evildoers pay resource competitive broadcast in sensor networks"
    - "a resource competitive jamming defense"

Connected through hyperedge HE-2 (induced by source paper "singletons for simpletons revisiting windowed backoff using chernoff bounds"):
  with members:
    - "the energy complexity of broadcast"
    - "scalable wake up of multi channel single hop radio networks"
    - "fast and robust compressive phase retrieval with sparse graph codes"
    - "unbounded contention resolution in multiple access channels"
    - "a jamming resistant mac protocol for multi hop wireless networks"

Connected through hyperedge HE-3 (induced by source paper "energy efficient adversarial routing in shared channels"):
  with members:
    - "the energy complexity of broadcast"
    - "packet latency of deterministic broadcasting in adversarial multiple access channels"
    - "broadcasting in ad hoc multiple access channels"
    - "adversarial multiple access channels with individual injection rates"
    - "a survey of green networking research"
    - "maximum throughput of multiple access channels in adversarial environments"

Connected through hyperedge HE-4 (induced by source paper "energy complexity of distance computation in multi hop networks"):
  with members:
    - "minor excluded network families admit fast distributed algorithms"
    - "distributed exact shortest paths in sublinear time"
    - "improved distributed algorithms for exact shortest paths"
    - "the energy complexity of broadcast"
    - "near linear lower bounds for distributed distance computations even in sparse networks"

Connected through hyperedge HE-5 (induced by source paper "the energy complexity of broadcast"):
  with members:
    - "exploiting spontaneous transmissions for broadcasting and leader election in radio networks"
    - "randomized broadcast in radio networks with collision detection"
    - "radio network lower bounds made easy"
    - "parallel graph decompositions using random shifts"
    - "near optimal leader election in multi hop radio networks"

Connected through hyperedge HE-6 (induced by source paper "broadcast in radio networks time vs energy tradeoffs"):
  with members:
    - "the energy complexity of broadcast"
    - "exploiting spontaneous transmissions for broadcasting and leader election in radio networks"
    - "fully dynamic connectivity in o log n log log n 2 amortized expected time"
    - "randomized broadcast in radio networks with collision detection"

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)