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: "collective phenomena and non finite state computation in a human social system"
  Abstract: We investigate the computational structure of a paradigmatic example of distributed social interaction: that of the open-source Wikipedia community. We examine the statistical properties of its cooperative behavior, and perform model selection to determine whether this aspect of the system can be described by a finite-state process, or whether reference to an effectively unbounded resource allows for a more parsimonious description. We find strong evidence, in a majority of the most-edited pages, in favor of a collective-state model, where the probability of a “revert” action declines as the square root of the number of non-revert actions seen since the last revert. We provide evidence that the emergence of this social counter is driven by collective interaction effects, rather than properties of individual users.

Connected through hyperedge HE-1 (induced by source paper "ten social dimensions of conversations and relationships"):
  with members:
    - "firsthand opiates abuse on social media monitoring geospatial patterns of interest through a digital cohort"
    - "the language of dialogue is complex"
    - "coloring in the links capturing social ties as they are perceived"
    - "the anatomy of reddit an overview of academic research"
    - "community interaction and conflict on the web"
    - "bert pre training of deep bidirectional transformers for language understanding"
    - "caveat emptor computational social science large scale missing data in a widely published reddit corpus"
    - "automated hate speech detection and the problem of offensive language"

Connected through hyperedge HE-2 (induced by source paper "coloring in the links capturing social ties as they are perceived"):
  with members:
    - "evolution of conversations in the age of email overload"
    - "reading the source code of social ties"
    - "characterizing and curating conversation threads expansion focus volume re entry"
    - "comparing and combining sentiment analysis methods"
    - "echoes of power language effects and power differences in social interaction"
    - "the slashdot zoo mining a social network with negative edges"

Connected through hyperedge HE-3 (induced by source paper "conflict and computation on wikipedia a finite state machine analysis of editor interactions"):
  with members:
    - "the evolution of wikipedia s norm network"
    - "analyzing organizational routines in online knowledge collaborations a case for sequence analysis in cscw"
    - "bootstrap methods for the empirical study of decision making and information flows in social systems"

Connected through hyperedge HE-4 (induced by source paper "computational fact checking from knowledge networks"):
  with members:
    - "distance closures on complex networks"

Connected through hyperedge HE-5 (induced by source paper "reading the source code of social ties"):
  with members:
    - "people are strange when you re a stranger impact and influence of bots on social networks"
    - "characterizing and curating conversation threads expansion focus volume re entry"
    - "distinguishing topical and social groups based on common identity and bond theory"
    - "structure and dynamics of information pathways in online media"
    - "learning topic models going beyond svd"
    - "echoes of power language effects and power differences in social interaction"

Connected through hyperedge HE-6 (induced by source paper "understanding the predictive power of computational mechanics and echo state networks in social media"):
  with members:
    - "blind construction of optimal nonlinear recursive predictors for discrete sequences"
    - "latent self exciting point process model for spatial temporal networks"
    - "information transfer in social media"

Connected through hyperedge HE-7 (induced by source paper "demystifying information theoretic clustering"):
  with members:
    - "bootstrap methods for the empirical study of decision making and information flows in social systems"
    - "objective criteria for the evaluation of clustering methods"

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)