human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "analysis of group evolution prediction in complex networks"):
  Abstract: In a world, in which the acceptance and the social community membership is highly desired, the ability to predict social group evolution appears to be a fascinating research task, yet very complex. Therefore, the problem decomposition has been performed, and a new, adaptable and generic method for group evolution prediction in social networks (called GEP) is proposed in this paper. The work also contains extensive evaluation of the GEP method for many real-world social networks, including (1) analysis of numerous parameters (time window type and size, community detection method, evolution chain length, classifier used, etc.), (2) comparative analysis against other existing methods, (3) adaptation of the transfer learning concept to group evolution prediction, (4) enhancing the classification model with a more appropriate training set, and (5) prediction of more distant and multiple following future events. Additionally, many new predictive features reflecting the community state at a given time are proposed as well as rankings of the features most valuable for the classification process are provided. Moreover, the work identified a number of problems of existing methods for evolution prediction. The most severe are methodological issues, a narrow application area, insufficient validation, superficial descriptions of the methods and conducted experiments, as well as lack or unreliable comparisons with other methods.

Includes members:
  Member "a comparative study of different approaches for tracking communities in evolving social networks":
    also connected through other hyperedges:
      (none)
  Member "community discovery in dynamic networks a survey":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a survey of community search over big graphs")
  Member "wordnet2vec corpora agnostic word vectorization method":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "comprehensive analysis of aspect term extraction methods using various text embeddings")
  Member "predicting community evolution in social networks":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "community discovery in dynamic networks a survey")
  Member "estimating continuous distributions in bayesian classifiers":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "needmining identifying micro blog data containing customer needs")
  Member "different approaches to community evolution prediction in blogosphere":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "a comparative study of different approaches for tracking communities in evolving social networks")
  Member "ged the method for group evolution discovery in social networks":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "a comparative study of different approaches for tracking communities in evolving social networks")
  Member "identification of group changes in blogosphere":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "community discovery in dynamic networks a survey")

Question: Please tell me which class the source paper 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)