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 "tracing community genealogy how new communities emerge from the old"):
  Abstract: The process by which new communities emerge is a central research issue in the social sciences. While a growing body of research analyzes the formation of a single community by examining social networks between individuals, we introduce a novel community-centered perspective. We highlight the fact that the context in which a new community emerges contains numerous existing communities. We reveal the emerging process of communities by tracing their early members' previous community memberships. #R##N#Our testbed is Reddit, a website that consists of tens of thousands of user-created communities. We analyze a dataset that spans over a decade and includes the posting history of users on Reddit from its inception to April 2017. We first propose a computational framework for building genealogy graphs between communities. We present the first large-scale characterization of such genealogy graphs. Surprisingly, basic graph properties, such as the number of parents and max parent weight, converge quickly despite the fact that the number of communities increases rapidly over time. Furthermore, we investigate the connection between a community's origin and its future growth. Our results show that strong parent connections are associated with future community growth, confirming the importance of existing community structures in which a new community emerges. Finally, we turn to the individual level and examine the characteristics of early members. We find that a diverse portfolio across existing communities is the most important predictor for becoming an early member in a new community.

Includes members:
  Member "caveat emptor computational social science large scale missing data in a widely published reddit corpus":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "ten social dimensions of conversations and relationships")
  Member "community identity and user engagement in a multi community landscape":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "trajectories of blocked community members redemption recidivism and departure")
  Member "loyalty in online communities":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "trajectories of blocked community members redemption recidivism and departure")
  Member "science askscience and badscience on the coexistence of highly related communities":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "retrieving top weighted triangles in graphs")
  Member "averaging gone wrong using time aware analyses to better understand behavior":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "a survey on bias and fairness in machine learning")
  Member "all who wander on the prevalence and characteristics of multi community engagement":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "content removal as a moderation strategy compliance and other outcomes in the changemyview community")
  Member "can cascades be predicted":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "deep collaborative embedding for information cascade prediction")
  Member "evolution of reddit from the front page of the internet to a self referential community":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "characterizing behavioral trends in a community driven discussion platform")

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)