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 "twitter speaks a case of national disaster situational awareness"):
  Abstract: In recent years, we have been faced with a series of natural disasters causing a tremendous amount of financial, environmental, and human losses. The unpredictable nature of natural disasters' behavior makes it hard to have a comprehensive situational awareness (SA) to support disaster management. Using opinion surveys is a traditional approach to analyze public concerns during natural disasters; however, this approach is limited, expensive, and time-consuming. Luckily the advent of social media has provided scholars with an alternative means of analyzing public concerns. Social media enable users (people) to freely communicate their opinions and disperse information regarding current events including natural disasters. This research emphasizes the value of social media analysis and proposes an analytical framework: Twitter Situational Awareness (TwiSA). This framework uses text mining methods including sentiment analysis and topic modeling to create a better SA for disaster preparedness, response, and recovery. TwiSA has also effectively deployed on a large number of tweets and tracks the negative concerns of people during the 2015 South Carolina flood.

Includes members:
  Member "characterizing transgender health issues in twitter":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "deep representation learning for clustering of health tweets")
  Member "social media analysis for organizations us northeastern public and state libraries case study":
    also connected through other hyperedges:
      (none)
  Member "characterizing diseases and disorders in gay users tweets":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "characterizing transgender health issues in twitter")
  Member "mining public opinion about economic issues twitter and the u s presidential election":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "characterizing transgender health issues in twitter")
  Member "life never matters in the democrats mind examining strategies of retweeted social bots during a mass shooting event":
    also connected through other hyperedges:
      (none)
  Member "what do the us west coast public libraries post on twitter":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "hidden in plain sight for too long using text mining techniques to shine a light on workplace sexism and sexual harassment")
  Member "applications of deep learning and reinforcement learning to biological data":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "3d aggregated faster r cnn for general lesion detection")
  Member "deep learning for iot big data and streaming analytics a survey":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "a survey on machine learning based performance improvement of wireless networks phy mac and network layer")

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)