human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "on the sitting closer to friends than enemies problem in trees and an intersection model for strongly chordal graphs"):
  Abstract: A signed graph is a graph with a sign assignment to its edges. The Sitting Closer to Friends than Enemies (SCFE) problem is to find an injection of the vertex set of a given signed graph into a metric space such that for every pair of incident edges with different signs the end vertices of the positive edge are injected closer in the space than the end vertices of the negative edge. Such an injection is called a valid distance drawing. In this document, we study the SCFE problem in real trees (also known as $\mathbb{R}$-trees). We show that a complete signed graph has a valid distance drawing in a real tree if and only if its subgraph composed of all (and only) its positive edges is strongly chordal. Furthermore, as an instrumental result, we show that the set of strongly chordal graphs is equal to the set of graphs with an intersection model of unit balls, proper balls, and balls in a real tree.

Includes members:
  Member "a survey of signed network mining in social media":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "social science guided feature engineering a novel approach to signed link analysis")
  Member "arboricity h index and dynamic algorithms":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a survey on subgraph counting concepts algorithms and applications to network motifs and graphlets")

Question: Please tell me which class the source paper 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)