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: "social contagion theory examining dynamic social networks and human behavior"
  Abstract: Here, we review the research we have done on social contagion. We describe the methods we have employed (and the assumptions they have entailed) in order to examine several datasets with complementary strengths and weaknesses, including the Framingham Heart Study, the National Longitudinal Study of Adolescent Health, and other observational and experimental datasets that we and others have collected. We describe the regularities that led us to propose that human social networks may exhibit a "three degrees of influence" property, and we review statistical approaches we have used to characterize inter-personal influence with respect to phenomena as diverse as obesity, smoking, cooperation, and happiness. We do not claim that this work is the final word, but we do believe that it provides some novel, informative, and stimulating evidence regarding social contagion in longitudinally followed networks. Along with other scholars, we are working to develop new methods for identifying causal effects using social network data, and we believe that this area is ripe for statistical development as current methods have known and often unavoidable limitations.

Connected through hyperedge HE-1 (induced by source paper "regression from dependent observations"):
  with members:
    - "hogwild gibbs can be panaccurate"
    - "learning graphical models using multiplicative weights"
    - "information theoretic properties of markov random fields and their algorithmic applications"
    - "testing ising models"
    - "ensuring rapid mixing and low bias for asynchronous gibbs sampling"

Connected through hyperedge HE-2 (induced by source paper "malware squid a novel iot malware traffic analysis framework using convolutional neural network and binary visualisation"):
  with members:
    - "a novel malware detection system based on machine learning and binary visualization"
    - "performance comparison of intrusion detection systems and application of machine learning to snort system"
    - "malware dynamic analysis evasion techniques a survey"
    - "tensorflow a system for large scale machine learning"
    - "happiness is assortative in online social networks"

Connected through hyperedge HE-3 (induced by source paper "learning from weakly dependent data under dobrushin s condition"):
  with members:
    - "on statistical learning via the lens of compression"
    - "testing ising models"
    - "sample compression schemes for vc classes"
    - "predictive pac learnability a paradigm for learning from exchangeable input data"

Connected through hyperedge HE-4 (induced by source paper "sneak into devil s colony a study of fake profiles in online social networks and the cyber law"):
  with members:
    - "design and implementation of imacros based data crawler for behavioral analysis of facebook users"
    - "an army of me sockpuppets in online discussion communities"
    - "online human bot interactions detection estimation and characterization"
    - "anomaly detection in online social networks"
    - "the darpa twitter bot challenge"
    - "the rise of social bots"
    - "sybilframe a defense in depth framework for structure based sybil detection"
    - "people are strange when you re a stranger impact and influence of bots on social networks"

Connected through hyperedge HE-5 (induced by source paper "design and implementation of imacros based data crawler for behavioral analysis of facebook users"):
  with members:
    - "web data extraction applications and techniques"
    - "crawling facebook for social network analysis purposes"

Connected through hyperedge HE-6 (induced by source paper "inferring structural characteristics of networks with strong and weak ties from fixed choice surveys"):
  with members:
    - "the role of social networks in information diffusion"
    - "walking on a graph with a magnifying glass stratified sampling via weighted random walks"
    - "estimating and sampling graphs with multidimensional random walks"
    - "what is the real size of a sampled network the case of the internet"

Connected through hyperedge HE-7 (induced by source paper "cultural diffusion and trends in facebook photographs"):
  with members:
    - "deep residual learning for image recognition"
    - "microsoft coco common objects in context"
    - "the role of social networks in information diffusion"

Connected through hyperedge HE-8 (induced by source paper "social discrete choice models"):
  with members:
    - "training neural networks without gradients a scalable admm approach"
    - "network lasso clustering and optimization in large graphs"

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)