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: "a game theoretic framework for decentralized cooperative data exchange using network coding"
  Abstract: In this paper, we introduce a game theoretic frame- work for studying the problem of minimizing the delay of instantly decodable network coding (IDNC) for cooperative data exchange (CDE) in decentralized wireless network. In this configuration, clients cooperate with each other to recover the erased packets without a central controller. Game theory is employed herein as a tool for improving the distributed solution by overcoming the need for a central controller or additional signaling in the system. We model the session by self- interested players in a non-cooperative potential game. The utility functions are designed such that increasing individual payoff results in a collective behavior achieving both a desirable system performance in a shared network environment and the Nash bargaining solution. Three games are developed: the first aims to reduce the completion time, the second to reduce the maximum decoding delay and the third the sum decoding delay. We improve these formulations to include punishment policy upon collision occurrence and achieve the Nash bargaining solution. Through extensive simulations, our framework is tested against the best performance that could be found in the conventional point- to-multipoint (PMP) recovery process in numerous cases: first we simulate the problem with complete information. We, then, simulate with incomplete information and finally we test it in lossy feedback scenario. Numerical results show that our formulation with complete information largely outperforms the conventional PMP scheme in most situations and achieves a lower delay. They also show that the completion time formulation with incomplete information also outperforms the conventional PMP. Index Terms—Cooperative data exchange, instantly decodable network coding, non-cooperative games, potential game, Nash equilibrium.

Connected through hyperedge HE-1 (induced by source paper "coalition formation game for delay reduction in instantly decodable network coding assisted d2d communications"):
  with members:
    - "data dissemination using instantly decodable binary codes in fog radio access networks"
    - "instantly decodable network coding for real time scalable video broadcast over wireless networks"
    - "a survey on device to device communication in cellular networks"
    - "delay reduction in multi hop device to device communication using network coding"
    - "completion time reduction in instantly decodable network coding through decoding delay control"
    - "a game theoretic approach to minimize the completion time of network coded cooperative data exchange"
    - "what will 5g be"
    - "five disruptive technology directions for 5g"

Connected through hyperedge HE-2 (induced by source paper "a tutorial on clique problems in communications and signal processing"):
  with members:
    - "eptas for max clique on disks and unit balls"
    - "enhanced uplink resource allocation in non orthogonal multiple access systems"
    - "discovering patterns of interest in ip traffic using cliques in bipartite link streams"
    - "delivery time reduction for order constrained applications using binary network codes"
    - "data dissemination using instantly decodable binary codes in fog radio access networks"
    - "on multiaspect graphs"
    - "distributed hybrid scheduling in multi cloud networks using conflict graphs"
    - "resilient backhaul network design using hybrid radio free space optical technology"

Connected through hyperedge HE-3 (induced by source paper "rate aware instantly decodable network codes"):
  with members:
    - "on minimizing the maximum broadcast decoding delay for instantly decodable network coding"
    - "decoding delay controlled reduction of completion time in instantly decodable network coding"
    - "delay reduction in multi hop device to device communication using network coding"
    - "coding based data broadcasting for time critical applications with rate adaptation"
    - "completion time reduction in instantly decodable network coding through decoding delay control"
    - "a game theoretic approach to minimize the completion time of network coded cooperative data exchange"
    - "a lossy graph model for delay reduction in generalized instantly decodable network coding"
    - "partially blind instantly decodable network codes for lossy feedback environment"

Connected through hyperedge HE-4 (induced by source paper "delay reduction in multi hop device to device communication using network coding"):
  with members:
    - "fundamental green tradeoffs progresses challenges and impacts on 5g networks"
    - "data dissemination using instantly decodable binary codes in fog radio access networks"
    - "an overview of sustainable green 5g networks"
    - "rate aware instantly decodable network codes"
    - "on minimizing the maximum broadcast decoding delay for instantly decodable network coding"
    - "decoding delay controlled reduction of completion time in instantly decodable network coding"
    - "completion time reduction in instantly decodable network coding through decoding delay control"
    - "a game theoretic approach to minimize the completion time of network coded cooperative data exchange"

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)