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: "coalition formation games for collaborative spectrum sensing"
  Abstract: Collaborative spectrum sensing (CSS) between secondary users (SUs) in cognitive networks exhibits an inherent tradeoff between minimizing the probability of missing the detection of the primary user (PU) and maintaining a reasonable false alarm probability (e.g., for maintaining good spectrum utilization). In this paper, we study the impact of this tradeoff on the network structure and the cooperative incentives of the SUs that seek to cooperate to improve their detection performance. We model the CSS problem as a nontransferable coalitional game, and we propose distributed algorithms for coalition formation (CF). First, we construct a distributed CF algorithm that allows the SUs to self-organize into disjoint coalitions while accounting for the CSS tradeoff. Then, the CF algorithm is complemented with a coalitional voting game to enable distributed CF with detection probability (CF-PD) guarantees when required by the PU. The CF-PD algorithm allows the SUs to form minimal winning coalitions (MWCs), i.e., coalitions that achieve the target detection probability with minimal costs. For both algorithms, we study and prove various properties pertaining to network structure, adaptation to mobility, and stability. Simulation results show that CF reduces the average probability of miss per SU up to 88.45%, relative to the noncooperative case, while maintaining a desired false alarm. For CF-PD, the results show that up to 87.25% of the SUs achieve the required detection probability through MWCs.

Connected through hyperedge HE-1 (induced by source paper "coalitional game framework for content distribution using device to device communication"):
  with members:
    - "on consideration of content preference and sharing willingness in d2d assisted offloading"
    - "a survey on device to device communication in cellular networks"
    - "energy efficient resource allocation and user scheduling for collaborative mobile clouds with hybrid receivers"
    - "a generic approach to coalition formation"

Connected through hyperedge HE-2 (induced by source paper "solutions of partition function based tu games for cooperative communication networking"):
  with members:
    - "the geometric lattice of embedded subsets"
    - "coalitional games in partition form for joint spectrum sensing and access in cognitive radio networks"
    - "the lattice of embedded subsets"
    - "coalitional game theory for communication networks a tutorial"

Connected through hyperedge HE-3 (induced by source paper "socially trusted collaborative edge computing in ultra dense networks"):
  with members:
    - "online learning for offloading and autoscaling in energy harvesting mobile edge computing"
    - "a survey on mobile edge computing the communication perspective"
    - "online learning for offloading and autoscaling in renewable powered mobile edge computing"
    - "a cooperative scheduling scheme of local cloud and internet cloud for delay aware mobile cloud computing"
    - "what will 5g be"
    - "optimization of radio and computational resources for energy efficiency in latency constrained application offloading"
    - "coalitional games with overlapping coalitions for interference management in small cell networks"
    - "belief propagation methods for intercell interference coordination"

Connected through hyperedge HE-4 (induced by source paper "collaborative smartphone sensing using overlapping coalition formation games"):
  with members:
    - "a layered coalitional game framework of wireless relay network"
    - "coalitional games with overlapping coalitions for interference management in small cell networks"
    - "cooperative games with overlapping coalitions"
    - "coalitional game theory for communication networks a tutorial"
    - "a generic approach to coalition formation"

Connected through hyperedge HE-5 (induced by source paper "game theoretic framework for cooperative sensing and fair spectrum access in multichannel cognitive radio networks"):
  with members:
    - "matching theory for future wireless networks fundamentals and applications"
    - "distributed cooperative sensing in cognitive radio networks an overlapping coalition formation approach"
    - "coalitional games in partition form for joint spectrum sensing and access in cognitive radio networks"

Connected through hyperedge HE-6 (induced by source paper "game theory for signal processing in networks"):
  with members:
    - "understanding game theory via wireless power control"
    - "crawford sobel meet lloyd max on the grid"
    - "coalitional games in miso interference channels epsilon core and coalition structure stable set"
    - "multiobjective signal processing optimization the way to balance conflicting metrics in 5g systems"
    - "distributed cooperative sensing in cognitive radio networks an overlapping coalition formation approach"
    - "distributed adaptive networks a graphical evolutionary game theoretic view"
    - "jamming games in the mimo wiretap channel with an active eavesdropper"
    - "distributed learning policies for power allocation in multiple access channels"

Connected through hyperedge HE-7 (induced by source paper "distributed cooperative sensing in cognitive radio networks an overlapping coalition formation approach"):
  with members:
    - "coalitional games with overlapping coalitions for interference management in small cell networks"
    - "an efficient mac protocol with selective grouping and cooperative sensing in cognitive radio networks"
    - "cooperative games with overlapping coalitions"

Connected through hyperedge HE-8 (induced by source paper "orthogonality and cooperation in collaborative spectrum sensing through mimo decision fusion"):
  with members:
    - "performance analysis and design of maximum ratio combining in channel aware mimo decision fusion"
    - "optimality of received energy in decision fusion over rayleigh fading diversity mac with non identical sensors"

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)