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: "on the moment event distance of poisson processes"
  Abstract: Consider the event distance between two i.i.d. Poisson processes with arrival rate $\lambda$ and respective arrival times $X_1,X_2,\dots$ and $Y_1,Y_2,\dots$ on a line. We give a closed analytical formula for the moment distance $\E{|X_{k+r}-Y_k|^a}, $ for any integer $k\ge 1, r\ge 0,$ when $a$ is natural number. The moment distance we represent as the combination of the Pochhammer polynomials. Especially, for $r=0,$ the following identity is valid: $$ \E{|X_k-Y_k|^a}=\frac{a!}{\lambda^a}\frac{\Gamma\left(\frac{a}{2}+k\right)}{\Gamma(k)\Gamma\left(\frac{a}{2}+1\right)}, $$ where $\Gamma(z)$ is Gamma function. Hence, we generalize the results of [7] to any power $a,$ when $a$ is natural number. As an application to sensor networks we derive that the expected cost to the power $b$ of a minimum weight matching with edges $\{X_k,Y_k\}$ between two i.i.d Poisson processes with arrival times $X_1,X_2,\dots X_n$ and $Y_1,Y_2,\dots Y_n$ is in $\Theta\left(n^{1-\frac{b}{2}}\right),$ when $b\ge 1,$ and in $O\left(n^{1-\frac{b}{2}}\right),$ when $0 <b< 1.$

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.DM(Discrete Mathematics)