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: "different approaches to community evolution prediction in blogosphere"
  Abstract: Predicting the future direction of community evolution is a problem with high theoretical and practical significance. It allows to determine which characteristics describing communities have importance from the point of view of their future behaviour. Knowledge about the probable future career of the community aids in the decision concerning investing in contact with members of a given community and carrying out actions to achieve a key position in it. It also allows to determine effective ways of forming opinions or to protect group participants against such activities. In the paper, a new approach to group identification and prediction of future events is presented together with the comparison to existing method. Performed experiments prove a high quality of prediction results. Comparison to previous studies shows that using many measures to describe the group profile, and in consequence as a classifier input, can improve predictions.

Connected through hyperedge HE-1 (induced by source paper "a comparative study of different approaches for tracking communities in evolving social networks"):
  with members:
    - "ged the method for group evolution discovery in social networks"
    - "empirical comparison of algorithms for network community detection"

Connected through hyperedge HE-2 (induced by source paper "temporally evolving community detection and prediction in content centric networks"):
  with members:
    - "predicting community evolution in social networks"
    - "predicting small group accretion in social networks a topology based incremental approach"
    - "detecting overlapping temporal community structure in time evolving networks"
    - "sequential detection of temporal communities by estrangement confinement"
    - "efficient community detection in large networks using content and links"

Connected through hyperedge HE-3 (induced by source paper "temporally evolving community detection and prediction in content centric networks"):
  with members:
    - "predicting community evolution in social networks"
    - "predicting small group accretion in social networks a topology based incremental approach"
    - "detecting overlapping temporal community structure in time evolving networks"
    - "sequential detection of temporal communities by estrangement confinement"
    - "efficient community detection in large networks using content and links"

Connected through hyperedge HE-4 (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"
    - "ged the method for group evolution discovery in social networks"
    - "identification of group changes in blogosphere"
    - "predicting group evolution in the social network"

Connected through hyperedge HE-5 (induced by source paper "predicting community evolution in social networks"):
  with members:
    - "ged the method for group evolution discovery in social networks"
    - "identification of group changes in blogosphere"
    - "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-6 (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"
    - "analysis of roles and groups in blogosphere"
    - "identification of group changes in blogosphere"

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)