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 "who negatively influences me formalizing diffusion dynamics of negative exposure leading to student attrition in moocs"):
  Abstract: In this work, we explain the underlying interaction mechanisms which govern students' influence on each other in Massive Open Online Courses (MOOCs). Specifically, we outline different ways in which students can be negatively exposed to their peers on MOOC forums and discuss a simple formulation of learning network diffusion, which formalizes the essence of how such an influence spreads and can potentially lead to student attrition over time. We also view the limitations of our student modeling in the light of real world MOOC behavior and consequently suggest ways of extending the diffusion model to handle more complex assumptions. Such an understanding is very beneficial for MOOC designers and instructors to create a conducive learning environment that supports students' growth and increases their engagement in the course.

Includes members:
  Member "supporting mooc instruction with social network analysis":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "your click decides your fate inferring information processing and attrition behavior from mooc video clickstream interactions")
  Member "capturing attrition intensifying structural traits from didactic interaction sequences of mooc learners":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "dropout prediction over weeks in moocs via interpretable multi layer representation learning")
  Member "together we stand together we fall together we win dynamic team formation in massive open online courses":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "a survey on studying the social networks of students")
  Member "the rich club phenomenon in the classroom":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "a survey on studying the social networks of students")

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)