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 "quantifying location sociality"):
  Abstract: The emergence of location-based social networks provides an unprecedented chance to study the interaction between human mobility and social relations. In this work, we focus on quantifying whether a location is suitable for conducting social activities, and the notion is named location sociality. Being able to quantify location sociality creates practical opportunities such as urban planning and location recommendation. To quantify a location's sociality, we propose a mixture model of HITS and PageRank on a heterogeneous network linking users and locations. By exploiting millions of check-in data generated by Instagram users in New York and Los Angeles, we investigate the relation between location sociality and several location properties, such as location categories, rating and popularity. We further perform two case studies, i.e., friendship prediction and location recommendation, experimental results demonstrate the usefulness of our quantification.

Includes members:
  Member "smelly maps the digital life of urban smellscapes":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "outdoorsent sentiment analysis of urban outdoor images by using semantic and deep features")
  Member "measuring urban deprivation from user generated content":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "exploiting population activity dynamics to predict urban epidemiological incidence")
  Member "dawn of the selfie era the whos wheres and hows of selfies on instagram":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "everything about you a multimodal approach towards friendship inference in online social networks")
  Member "topological properties and temporal dynamics of place networks in urban environments":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "cultural investment and urban socio economic development a geosocial network approach")
  Member "the digital life of walkable streets":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "facelift a transparent deep learning framework to beautify urban scenes")
  Member "foodporn obesity patterns in culinary interactions":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "foodai food image recognition via deep learning for smart food logging")
  Member "the shortest path to happiness recommending beautiful quiet and happy routes in the city":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "facelift a transparent deep learning framework to beautify urban scenes")
  Member "where businesses thrive predicting the impact of the olympic games on local retailers through location based services data":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "predictive analysis on twitter techniques and applications")

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)