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 "predictive analysis on twitter techniques and applications"):
  Abstract: Predictive analysis of social media data has attracted considerable attention from the research community as well as the business world because of the essential and actionable information it can provide. Over the years, extensive experimentation and analysis for insights have been carried out using Twitter data in various domains such as healthcare, public health, politics, social sciences, and demographics. In this chapter, we discuss techniques, approaches, and state-of-the-art applications of predictive analysis of Twitter data. Specifically, we present fine-grained analysis involving aspects such as sentiment, emotion, and the use of domain knowledge in the coarse-grained analysis of Twitter data for making decisions and taking actions, and relate a few success stories.

Includes members:
  Member "what s my age predicting twitter user s age using influential friend network and dbpedia":
    also connected through other hyperedges:
      (none)
  Member "multiview deep learning for predicting twitter users location":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "rumour detection via news propagation dynamics and user representation learning")
  Member "on the challenges of sentiment analysis for dynamic events":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "semi supervised approach to monitoring clinical depressive symptoms in social media")
  Member "early detection of promoted campaigns on social media":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "don t feed the troll detecting troll behavior via inverse reinforcement learning")
  Member "emojinet an open service and api for emoji sense discovery":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "multimodal emotion classification")
  Member "location name extraction from targeted text streams using gazetteer based statistical language models":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "twitter watch leveraging social media to monitor and predict collective efficacy of neighborhoods")
  Member "using social media to predict the future a systematic literature review":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "a total error framework for digital traces of humans")
  Member "semi supervised approach to monitoring clinical depressive symptoms in social media":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "fusing visual textual and connectivity clues for studying mental health")

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)