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: "identification of group changes in blogosphere"
  Abstract: The paper addresses a problem of change identification in social group evolution. A new SGCI method for discovering of stable groups was proposed and compared with existing GED method. The experimental studies on a Polish blogosphere service revealed that both methods are able to identify similar evolution events even though both use different concepts. Some differences were demonstrated as well.

Connected through hyperedge HE-1 (induced by source paper "community discovery in dynamic networks a survey"):
  with members:
    - "stream graphs and link streams for the modeling of interactions over time"
    - "revealing evolutions in dynamical networks"
    - "the ground truth about metadata and community detection in networks"
    - "on the evaluation potential of quality functions in community detection for different contexts"
    - "a framework for the construction of generative models for mesoscale structure in multilayer networks"
    - "generative benchmark models for mesoscale structures in multilayer networks"
    - "enumerating maximal cliques in temporal graphs"
    - "using multiple criteria methods to evaluate community partitions"

Connected through hyperedge HE-2 (induced by source paper "analysis of group evolution prediction in complex networks"):
  with members:
    - "a comparative study of different approaches for tracking communities in evolving social networks"
    - "community discovery in dynamic networks a survey"
    - "wordnet2vec corpora agnostic word vectorization method"
    - "predicting community evolution in social networks"
    - "estimating continuous distributions in bayesian classifiers"
    - "different approaches to community evolution prediction in blogosphere"
    - "ged the method for group evolution discovery in social networks"
    - "predicting group evolution in the social network"

Connected through hyperedge HE-3 (induced by source paper "predicting community evolution in social networks"):
  with members:
    - "different approaches to community evolution prediction in blogosphere"
    - "ged the method for group evolution discovery in social networks"
    - "predicting group evolution in the social network"
    - "graphical analysis of social group dynamics"
    - "the slashdot zoo mining a social network with negative edges"

Connected through hyperedge HE-4 (induced by source paper "different approaches to community evolution prediction in blogosphere"):
  with members:
    - "estimating continuous distributions in bayesian classifiers"
    - "ged the method for group evolution discovery in social networks"
    - "predicting group evolution in the social network"
    - "influence of the dynamic social network timeframe type and size on the group evolution discovery"
    - "graphical analysis of social group dynamics"
    - "the slashdot zoo mining a social network with negative edges"

Connected through hyperedge HE-5 (induced by source paper "incorporating text analysis into evolution of social groups in blogosphere"):
  with members:
    - "models of social groups in blogosphere based on information about comment addressees and sentiments"
    - "different approaches to community evolution prediction in blogosphere"
    - "analysis of roles and groups in blogosphere"

Connected through hyperedge HE-6 (induced by source paper "models of social groups in blogosphere based on information about comment addressees and sentiments"):
  with members:
    - "agent based modelling of social organisations"
    - "identifying influential bloggers time does matter"

Connected through hyperedge HE-7 (induced by source paper "analysis of roles and groups in blogosphere"):
  with members:
    - "models of social groups in blogosphere based on information about comment addressees and sentiments"

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)