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: "analyzing interference from static cellular cooperation using the nearest neighbour model"
  Abstract: The problem of base station cooperation has recently been set within the framework of Stochastic Geometry. Existing works consider that a user dynamically chooses the set of stations that cooperate for his/her service. However, this assumption often does not hold. Cooperation groups could be predefined and static, with nodes connected by fixed infrastructure. To analyse such a potential network, in this work we propose a grouping method based on proximity. It is a variation of the so called Nearest Neighbour Model. We restrict ourselves to the simplest case where only singles and pairs of base stations are allowed to be formed. For this, two new point processes are defined from the dependent thinning of a Poisson Point Process, one for the singles and one for the pairs. Structural characteristics for the two are provided, including their density, Voronoi surface, nearest neighbour, empty space and J-function. We further make use of these results to analyse their interference fields and give explicit formulas to their expected value and their Laplace transform. The results constitute a novel toolbox towards the performance evaluation of networks with static cooperation.

Connected through hyperedge HE-1 (induced by source paper "wireless node cooperation with resource availability constraints"):
  with members:
    - "fundamentals of cluster centric content placement in cache enabled device to device networks"
    - "cooperative base station coloring for pair wise multi cell coordination"
    - "coverage gains from the static cooperation of mutually nearest neighbours"
    - "a stochastic geometry framework for analyzing pairwise cooperative cellular networks"
    - "a tractable model for noncoherent joint transmission base station cooperation"
    - "interference coordination random clustering and adaptive limited feedback"
    - "robust methods for lte and wimax dimensioning"
    - "modeling and analysis of k tier downlink heterogeneous cellular networks"

Connected through hyperedge HE-2 (induced by source paper "how to group wireless nodes together"):
  with members:
    - "cooperative base station coloring for pair wise multi cell coordination"
    - "a stochastic geometry framework for analyzing pairwise cooperative cellular networks"
    - "spectral efficiency of dynamic coordinated beamforming a stochastic geometry approach"
    - "a tractable model for noncoherent joint transmission base station cooperation"
    - "location aware cross tier coordinated multipoint transmission in two tier cellular networks"
    - "interference coordination random clustering and adaptive limited feedback"
    - "coverage by pairwise base station cooperation under adaptive geometric policies"
    - "acyclic preference systems in p2p networks"

Connected through hyperedge HE-3 (induced by source paper "analysis of static cellular cooperation between mutually nearest neighboring nodes"):
  with members:
    - "fundamentals of cluster centric content placement in cache enabled device to device networks"
    - "cooperative base station coloring for pair wise multi cell coordination"
    - "coverage gains from the static cooperation of mutually nearest neighbours"
    - "a stochastic geometry framework for analyzing pairwise cooperative cellular networks"
    - "a tractable model for noncoherent joint transmission base station cooperation"
    - "interference coordination random clustering and adaptive limited feedback"
    - "modeling and analysis of k tier downlink heterogeneous cellular networks"
    - "a tractable approach to coverage and rate in cellular networks"

Connected through hyperedge HE-4 (induced by source paper "coverage gains from the static cooperation of mutually nearest neighbours"):
  with members:
    - "fundamentals of cluster centric content placement in cache enabled device to device networks"
    - "a stochastic geometry framework for analyzing pairwise cooperative cellular networks"
    - "a tractable model for noncoherent joint transmission base station cooperation"
    - "interference coordination random clustering and adaptive limited feedback"
    - "a tractable approach to coverage and rate in cellular 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.IT(Information Theory)