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: "entropy based classification of retweeting activity on twitter"
  Abstract: Twitter is used for a variety of reasons, including informa- tion dissemination, marketing, political organizing and to spread propaganda, spamming, promotion, conversations, and so on. Characterizing these activities and categoriz- ing associated user generated content is a challenging task. We present a information-theoretic approach to classica- tion of user activity on Twitter. We focus on tweets that contain embedded URLs and study their collective 'retweet- ing' dynamics. We identify two features, time-interval and user entropy, which we use to classify retweeting activity. We achieve good separation of dierent activities using just these two features and are able to categorize content based on the collective user response it generates. We have identi- ed ve distinct categories of retweeting activity on Twitter: automatic/robotic activity, newsworthy information dissem- ination, advertising and promotion, campaigns, and para- sitic advertisement. In the course of our investigations, we have shown how Twitter can be exploited for promotional and spam-like activities. The content-independent, entropy- based activity classication method is computationally e- cient, scalable and robust to sampling and missing data. It has many applications, including automatic spam-detection, trend identication, trust management, user-modeling, so- cial search and content classication on online social media.

Connected through hyperedge HE-1 (induced by source paper "exploiting user frequency information for mining regionalisms from social media texts"):
  with members:
    - "a survey of location prediction on twitter"
    - "continuous representation of location for geolocation and lexical dialectology using mixture density networks"
    - "a neural model for user geolocation and lexical dialectology"
    - "diffusion of lexical change in social media"

Connected through hyperedge HE-2 (induced by source paper "fake cures user centric modeling of health misinformation in social media"):
  with members:
    - "the spread of low credibility content by social bots"
    - "using facebook ads audiences for global lifestyle disease surveillance promises and limitations"
    - "the spread of fake news by social bots"
    - "halal culture on instagram"
    - "catching zika fever application of crowdsourcing and machine learning for tracking health misinformation on twitter"
    - "fake news detection on social media a data mining perspective"
    - "fetishizing food in digital age foodporn around the world"
    - "a cross platform collection of social network profiles"

Connected through hyperedge HE-3 (induced by source paper "early detection of promoted campaigns on social media"):
  with members:
    - "online human bot interactions detection estimation and characterization"
    - "predicting online extremism content adopters and interaction reciprocity"
    - "botornot a system to evaluate social bots"
    - "the darpa twitter bot challenge"
    - "do cascades recur"
    - "the rise of social bots"
    - "science vs conspiracy collective narratives in the age of misinformation"
    - "computational fact checking from knowledge networks"

Connected through hyperedge HE-4 (induced by source paper "predicting online extremism content adopters and interaction reciprocity"):
  with members:
    - "botornot a system to evaluate social bots"
    - "the darpa twitter bot challenge"
    - "spider and the flies focused crawling on tumblr to detect hate promoting communities"
    - "the rise of social bots"
    - "failedrevolutions using twitter to study the antecedents of isis support"
    - "applying social media intelligence for predicting and identifying on line radicalization and civil unrest oriented threats"
    - "evolution of online user behavior during a social upheaval"
    - "the digital evolution of occupy wall street"

Connected through hyperedge HE-5 (induced by source paper "the rise of social bots"):
  with members:
    - "botornot a system to evaluate social bots"
    - "dissecting a social botnet growth content and influence in twitter"
    - "the darpa twitter bot challenge"
    - "people are strange when you re a stranger impact and influence of bots on social networks"
    - "reverse engineering socialbot infiltration strategies in twitter"
    - "social turing tests crowdsourcing sybil detection"
    - "uncovering social network sybils in the wild"
    - "truthy mapping the spread of astroturf in microblog streams"

Connected through hyperedge HE-6 (induced by source paper "the darpa twitter bot challenge"):
  with members:
    - "people are strange when you re a stranger impact and influence of bots on social networks"
    - "tripartite graph clustering for dynamic sentiment analysis on social media"
    - "truthy mapping the spread of astroturf in microblog streams"
    - "information transfer in social media"

Connected through hyperedge HE-7 (induced by source paper "the simple rules of social contagion"):
  with members:
    - "friendship paradox redux your friends are more interesting than you"
    - "attention and visibility in an information rich world"
    - "the role of social networks in information diffusion"
    - "core periphery structure in networks"
    - "what stops social epidemics"
    - "novelty and collective attention"

Connected through hyperedge HE-8 (induced by source paper "characterising behavior and emotions on social media for safety exploring online communication between police and citizens"):
  with members:
    - "narco emotions affect and desensitization in social media during the mexican drug war"

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)