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: "continuous time consensus under non instantaneous reciprocity"
  Abstract: We consider continuous-time consensus systems whose interactions satisfy a form or reciprocity that is not instantaneous, but happens over time. We show that these systems have certain desirable properties: They always converge independently of the specific interactions taking place and there exist simple conditions on the interactions for two agents to converge to the same value. This was until now only known for systems with instantaneous reciprocity. These result are of particular relevance when analyzing systems where interactions are a priori unknown, being for example endogenously determined or random. We apply our results to an instance of such systems.

Connected through hyperedge HE-1 (induced by source paper "on adversary robust consensus protocols through joint agent interactions"):
  with members:
    - "evaluating user reputation in online rating systems via an iterative group based ranking method"
    - "consensus of multi agent networks in the presence of adversaries using only local information"

Connected through hyperedge HE-2 (induced by source paper "a tutorial on modeling and analysis of dynamic social networks part i"):
  with members:
    - "on the analysis of the degroot friedkin model with dynamic relative interaction matrices"
    - "opinion evolution in time varying social influence networks with prejudiced agents"
    - "differential inequalities in multi agent coordination and opinion dynamics modeling"
    - "distributed algorithms for computation of centrality measures in complex networks"
    - "novel multidimensional models of opinion dynamics in social networks"
    - "open multi agent systems gossiping with random arrivals and departures"
    - "active sensing of social networks"
    - "structural balance and opinion separation in trust mistrust social networks"

Connected through hyperedge HE-3 (induced by source paper "persistent flows and non reciprocal interactions in deterministic networks"):
  with members:
    - "structural balance and opinion separation in trust mistrust social networks"
    - "consensus over random graph processes network borel cantelli lemmas for almost sure convergence"
    - "how agreement and disagreement evolve over random dynamic networks"
    - "convergence of type symmetric and cut balanced consensus seeking systems extended version"
    - "the role of persistent graphs in the agreement seeking of social networks"

Connected through hyperedge HE-4 (induced by source paper "distributed algorithms for solving convex inequalities"):
  with members:
    - "a distributed algorithm for solving a linear algebraic equation"
    - "consensus of hybrid multi agent systems"
    - "zero gradient sum algorithms for distributed convex optimization the continuous time case"
    - "gossip algorithms for distributed signal processing"
    - "distributed parameter estimation in sensor networks nonlinear observation models and imperfect communication"

Connected through hyperedge HE-5 (induced by source paper "distributed algorithms for solving a class of convex feasibility problems"):
  with members:
    - "distributed algorithms for solving convex inequalities"
    - "a distributed algorithm for solving a linear algebraic equation"
    - "reaching an optimal consensus dynamical systems that compute intersections of convex sets"
    - "distributed parameter estimation in sensor networks nonlinear observation models and imperfect communication"

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.SY(Systems and Control)