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 "nonlinearity networks a 2020 vision"):
  Abstract: I briefly survey several fascinating topics in networks and nonlinearity. I highlight a few methods and ideas, including several of personal interest, that I anticipate to be especially important during the next several years. These topics include temporal networks (in which the entities and/or their interactions change in time), stochastic and deterministic dynamical processes on networks, adaptive networks (in which a dynamical process on a network is coupled to dynamics of network structure), and network structure and dynamics that include "higher-order" interactions (which involve three or more entities in a network). I draw examples from a variety of scenarios, including contagion dynamics, opinion models, waves, and coupled oscillators.

Includes members:
  Member "models of continuous time networks with tie decay diffusion and convection":
    also connected through other hyperedges:
      (none)
  Member "tunable eigenvector based centralities for multiplex and temporal networks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "supracentrality analysis of temporal networks with directed interlayer coupling")
  Member "architecture and evolution of semantic networks in mathematics texts":
    also connected through other hyperedges:
      (none)
  Member "supracentrality analysis of temporal networks with directed interlayer coupling":
    also connected through other hyperedges:
      (none)
  Member "using persistent homology to quantify a diurnal cycle in hurricane felix":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "persistence diagrams for efficient simplicial complex reconstruction")
  Member "persistent homology of geospatial data a case study with voting":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "migration networks applications of network analysis to large scale human mobility")
  Member "network structure from rich but noisy data":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "improving textual network learning with variational homophilic embeddings")
  Member "random walks on simplicial complexes and the normalized hodge 1 laplacian":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "graph based semi supervised active learning for edge flows")

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)