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 "stream graphs and link streams for the modeling of interactions over time"):
  Abstract: Graph theory provides a language for studying the structure of relations, and it is often used to study interactions over time too. However, it poorly captures the both temporal and structural nature of interactions, that calls for a dedicated formalism. In this paper, we generalize graph concepts in order to cope with both aspects in a consistent way. We start with elementary concepts like density, clusters, or paths, and derive from them more advanced concepts like cliques, degrees, clustering coefficients, or connected components. We obtain a language to directly deal with interactions over time, similar to the language provided by graphs to deal with relations. This formalism is self-consistent: usual relations between different concepts are preserved. It is also consistent with graph theory: graph concepts are special cases of the ones we introduce. This makes it easy to generalize higher-level objects such as quotient graphs, line graphs, k-cores, and centralities. This paper also considers discrete versus continuous time assumptions, instantaneous links, and extensions to more complex cases.

Includes members:
  Member "degree based outlier detection within ip traffic modelled as a link stream":
    also connected through other hyperedges:
      (none)
  Member "non altering time scales for aggregation of dynamic networks into series of graphs":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "degree based outlier detection within ip traffic modelled as a link stream")
  Member "movie rating prediction using content based and link stream features":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "movienet a movie multilayer network model using visual and textual semantic cues")
  Member "motifs in temporal networks":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "hypergraph motifs concepts algorithms and discoveries")
  Member "discovering patterns of interest in ip traffic using cliques in bipartite link streams":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "degree based outlier detection within ip traffic modelled as a link stream")
  Member "time series analysis of temporal networks":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "a complete set of related git repositories identified via community detection approaches based on shared commits")
  Member "graphprints towards a graph analytic method for network anomaly detection":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "quantifiable comparable evaluations of cyber defensive capabilities a survey novel unified approach")
  Member "semirings for temporal network analysis":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "an algebraic approach to temporal network analysis based on temporal quantities")

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.SI(Social and Information Networks)