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 social group dynamics"):
  Abstract: The continuous interest in the social network area contributes to the fast development of this field. New possibilities of obtaining and storing data allows for more and more deeper analysis of the network in general, as well as groups and individuals within it. Especially interesting is studying the dynamics of changes in social groups over time. Having such knowledge ones may attempt to predict the future of the group, and then manage it properly in order to achieve presumed goals. Such ability would be a powerful tool in the hands of human resource managers, personnel recruitment, marketing, etc. The thesis presents a new method for exploring the evolution of social groups, called Group Evolution Discovery (GED). Next, the results of its use are provided together with comparison to two other algorithms in terms of accuracy, execution time, flexibility and ease of implementation. Moreover, the method was evaluated with various measures of user importance within a group. Obtained results suggest that GED is the best method for analyzing social group dynamics.

Includes members:
  Member "tracking group evolution in social networks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "analysis of group evolution prediction in complex networks")
  Member "social networks that matter twitter under the microscope":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "consistent recovery threshold of hidden nearest neighbor graphs")

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)