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: "the energy complexity of broadcast"
  Abstract: Energy is often the most constrained resource in networks of battery-powered devices, and as devices become smaller, they spend a larger fraction of their energy on communication (transceiver usage) not computation. As an imperfect proxy for true energy usage, we define energy complexity to be the number of time slots a device transmits/listens; idle time and computation are free. #R##N#In this paper we investigate the energy complexity of fundamental communication primitives such as broadcast in multi-hop radio networks. We consider models with collision detection (CD) and without (No-CD), as well as both randomized and deterministic algorithms. Some take-away messages from this work include: #R##N#1. The energy complexity of broadcast in a multi-hop network is intimately connected to the time complexity of leader election in a single-hop (clique) network. Many existing lower bounds on time complexity immediately transfer to energy complexity. For example, in the CD and No-CD models, we need $\Omega(\log n)$ and $\Omega(\log^2 n)$ energy, respectively. #R##N#2. The energy lower bounds above can almost be achieved, given sufficient ($\Omega(n)$) time. In the CD and No-CD models we can solve broadcast using $O(\frac{\log n\log\log n}{\log\log\log n})$ energy and $O(\log^3 n)$ energy, respectively. #R##N#3. The complexity measures of Energy and Time are in conflict, and it is an open problem whether both can be minimized simultaneously. We give a tradeoff showing it is possible to be nearly optimal in both measures simultaneously. For any constant $\epsilon>0$, broadcast can be solved in $O(D^{1+\epsilon}\log^{O(1/\epsilon)} n)$ time with $O(\log^{O(1/\epsilon)} n)$ energy, where $D$ is the diameter of the network.

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"
    - "exploiting spontaneous transmissions for broadcasting and leader election in radio networks"
    - "exponential separations in the energy complexity of leader election"
    - "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:
    - "exponential separations in the energy complexity of leader election"
    - "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 "fast and resource competitive broadcast in multi channel radio networks"):
  with members:
    - "exploiting spontaneous transmissions for broadcasting and leader election in radio networks"
    - "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-4 (induced by source paper "energy efficient adversarial routing in shared channels"):
  with members:
    - "packet latency of deterministic broadcasting in adversarial multiple access channels"
    - "exponential separations in the energy complexity of leader election"
    - "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-5 (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"
    - "near linear lower bounds for distributed distance computations even in sparse networks"
    - "exponential separations in the energy complexity of leader election"

Connected through hyperedge HE-6 (induced by source paper "broadcast in radio networks time vs energy tradeoffs"):
  with members:
    - "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"
    - "exponential separations in the energy complexity of leader election"
    - "randomized broadcast in radio networks with collision detection"

Connected through hyperedge HE-7 (induced by source paper "exponential separations in the energy complexity of leader election"):
  with members:
    - "broadcasting in noisy radio networks"
    - "exploiting spontaneous transmissions for broadcasting and leader election in radio networks"
    - "the computational power of beeps"
    - "optimal leader election in multi hop radio networks"
    - "radio network lower bounds made easy"
    - "near optimal leader election in multi hop radio networks"
    - "deploying wireless networks with beeps"

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)