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: "measuring large scale social networks with high resolution"
  Abstract: This paper describes the deployment of a large-scale study designed to measure human interactions across a variety of communication channels, with high temporal resolution and spanning multiple years—the Copenhagen Networks Study. Specifically, we collect data on face-to-face interactions, telecommunication, social networks, location, and background information (personality, demographics, health, politics) for a densely connected population of 1 000 individuals, using state-of-the-art smartphones as social sensors. Here we provide an overview of the related work and describe the motivation and research agenda driving the study. Additionally, the paper details the data-types measured, and the technical infrastructure in terms of both backend and phone software, as well as an outline of the deployment procedures. We document the participant privacy procedures and their underlying principles. The paper is concluded with early results from data analysis, illustrating the importance of multi-channel high-resolution approach to data collection.

Connected through hyperedge HE-1 (induced by source paper "computational human dynamics"):
  with members:
    - "joint embedding of structure and features via graph convolutional networks"
    - "location occupation and semantics based socioeconomic status inference on twitter"
    - "the temporal event graph"
    - "link transmission centrality in large scale social networks"
    - "socioeconomic dependencies of linguistic patterns in twitter a multivariate analysis"
    - "graph embedding techniques applications and performance a survey"
    - "correlations and dynamics of consumption patterns in social economic networks"
    - "stream graphs and link streams for the modeling of interactions over time"

Connected through hyperedge HE-2 (induced by source paper "detecting sequences of system states in temporal networks"):
  with members:
    - "community discovery in dynamic networks a survey"
    - "concept drift and anomaly detection in graph streams"
    - "fast change point detection on dynamic social networks"
    - "detecting change points in the large scale structure of evolving networks"
    - "graph based anomaly detection and description a survey"
    - "modeling complex systems with adaptive networks"

Connected through hyperedge HE-3 (induced by source paper "pocketcare tracking the flu with mobile phones using partial observations of proximity and symptoms"):
  with members:
    - "open badges a low cost toolkit for measuring team communication and dynamics"
    - "beyond contagion reality mining reveals complex patterns of social influence"
    - "graph coupled hmms for modeling the spread of infection"
    - "composite social network for predicting mobile apps installation"

Connected through hyperedge HE-4 (induced by source paper "different patterns of social closeness observed in mobile phone communication"):
  with members:
    - "friendship networks and social status"

Connected through hyperedge HE-5 (induced by source paper "estimating network structure from unreliable measurements"):
  with members:
    - "network structure from rich but noisy data"
    - "reconstructing networks with unknown and heterogeneous errors"
    - "structural inference for uncertain networks"
    - "network structure inference a survey motivations methods and applications"
    - "coauthorship and citation patterns in the physical review"
    - "friendship networks and social status"
    - "a heuristic approach to author name disambiguation in bibliometrics databases for large scale research assessments"

Connected through hyperedge HE-6 (induced by source paper "on the inability of markov models to capture criticality in human mobility"):
  with members:
    - "sharp nearby fuzzy far away how neural language models use context"
    - "dilated recurrent neural networks"
    - "recurrent highway networks"
    - "pointer sentinel mixture models"
    - "understanding predictability and exploration in human mobility"
    - "deep learning in neural networks"

Connected through hyperedge HE-7 (induced by source paper "network structure from rich but noisy data"):
  with members:
    - "from relational data to graphs inferring significant links using generalized hypergeometric ensembles"
    - "structural inference for uncertain networks"
    - "network structure inference a survey motivations methods and applications"
    - "a heuristic approach to author name disambiguation in bibliometrics databases for large scale research assessments"

Connected through hyperedge HE-8 (induced by source paper "quantifying surveillance in the networked age node based intrusions and group privacy"):
  with members:
    - "time critical social mobilization"
    - "the anatomy of the facebook social graph"
    - "four degrees of separation"

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.SI(Social and Information Networks)