human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "popmine tracking political opinion on the web"
  Abstract: The automatic content analysis of mass media in the social sciences has become necessary and possible with the raise of social media and computational power. One particularly promising avenue of research concerns the use of opinion mining. We design and implement the POPmine system which is able to collect texts from web-based conventional media (news items in mainstream media sites) and social media (blogs and Twitter) and to process those texts, recognizing topics and political actors, analyzing relevant linguistic units, and generating indicators of both frequency of mention and polarity (positivity/negativity) of mentions to political actors across sources, types of sources, and across time.

Connected through hyperedge HE-1 (induced by source paper "transportation in social media an automatic classifier for travel related tweets"):
  with members:
    - "feup at semeval 2017 task 5 predicting sentiment polarity and intensity with financial word embeddings"
    - "sentiment aggregate functions for political opinion polling using microblog streams"
    - "learning from the news predicting entity popularity on twitter"
    - "mining social media for open innovation in transportation systems"
    - "distributed representations of sentences and documents"
    - "distributed representations of words and phrases and their compositionality"

Connected through hyperedge HE-2 (induced by source paper "learning from the news predicting entity popularity on twitter"):
  with members:
    - "timemachine entity centric search and visualization of news archives"
    - "breaking the news first impressions matter on online news"
    - "characterizing the life cycle of online news stories using social media reactions"
    - "the pulse of news in social media forecasting popularity"
    - "dynamical classes of collective attention in twitter"

Connected through hyperedge HE-3 (induced by source paper "sentiment aggregate functions for political opinion polling using microblog streams"):
  with members:
    - "timemachine entity centric search and visualization of news archives"
    - "a meta analysis of state of the art electoral prediction from twitter data"
    - "i wanted to predict elections with twitter and all i got was this lousy paper a balanced survey on election prediction using twitter data"

Connected through hyperedge HE-4 (induced by source paper "mining social media for open innovation in transportation systems"):
  with members:
    - "sentiment aggregate functions for political opinion polling using microblog streams"
    - "tweetcred real time credibility assessment of content on twitter"

Connected through hyperedge HE-5 (induced by source paper "timemachine entity centric search and visualization of news archives"):
  with members:
    - "piaf vs adele classifying encyclopedic queries using automatically labeled training data"

Connected through hyperedge HE-6 (induced by source paper "sentibubbles topic modeling and sentiment visualization of entity centric tweets"):
  with members:
    - "timemachine entity centric search and visualization of news archives"

Question: Please tell me which class the center node 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)