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: "the role of information diffusion in the evolution of social networks"
  Abstract: Every day millions of users are connected through online social networks, generating a rich trove of data that allows us to study the mechanisms behind human interactions. Triadic closure has been treated as the major mechanism for creating social links: if Alice follows Bob and Bob follows Charlie, Alice will follow Charlie. Here we present an analysis of longitudinal micro-blogging data, revealing a more nuanced view of the strategies employed by users when expanding their social circles. While the network structure affects the spread of information among users, the network is in turn shaped by this communication activity. This suggests a link creation mechanism whereby Alice is more likely to follow Charlie after seeing many messages by Charlie. We characterize users with a set of parameters associated with different link creation strategies, estimated by a Maximum-Likelihood approach. Triadic closure does have a strong effect on link formation, but shortcuts based on traffic are another key factor in interpreting network evolution. However, individual strategies for following other users are highly heterogeneous. Link creation behaviors can be summarized by classifying users in different categories with distinct structural and behavioral characteristics. Users who are popular, active, and influential tend to create traffic-based shortcuts, making the information diffusion process more efficient in the network.

Connected through hyperedge HE-1 (induced by source paper "on the inevitability of online echo chambers"):
  with members:
    - "quantifying biases in online information exposure"
    - "how algorithmic popularity bias hinders or promotes quality"
    - "limited individual attention and online virality of low quality information"
    - "explaining the emergence of echo chambers on social media the role of ideology and extremism"
    - "measuring online social bubbles"
    - "partisan asymmetries in online political activity"
    - "happiness is assortative in online social networks"
    - "topical interests and the mitigation of search engine bias"

Connected through hyperedge HE-2 (induced by source paper "a self learning information diffusion model for smart social networks"):
  with members:
    - "the role of social networks in information diffusion"
    - "a model of internet topology using k shell decomposition"

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 "limited individual attention and online virality of low quality information"):
  with members:
    - "online human bot interactions detection estimation and characterization"
    - "on the efficiency of the information networks in social media"
    - "the rise of social bots"
    - "vip incorporating human cognitive biases in a probabilistic model of retweeting"
    - "measuring online social bubbles"
    - "partisan asymmetries in online political activity"
    - "novelty and collective attention"

Connected through hyperedge HE-5 (induced by source paper "on the efficiency of the information networks in social media"):
  with members:
    - "back to the past source identification in diffusion networks from partially observed cascades"
    - "co evolutionary dynamics in social networks a case study of twitter"
    - "the bursty dynamics of the twitter information network"
    - "the role of social networks in information diffusion"

Connected through hyperedge HE-6 (induced by source paper "attention inequality in social media"):
  with members:
    - "the bursty dynamics of the twitter information network"
    - "friendship paradox redux your friends are more interesting than you"

Connected through hyperedge HE-7 (induced by source paper "social networks under stress"):
  with members:
    - "detecting change points in the large scale structure of evolving networks"

Connected through hyperedge HE-8 (induced by source paper "topicality and impact in social media diverse messages focused messengers"):
  with members:
    - "can cascades be predicted"
    - "bigbirds never die understanding social dynamics of emergent hashtag"
    - "clustering memes in social media"
    - "virality prediction and community structure in social networks"
    - "real time discovery of dense clusters in highly dynamic graphs identifying real world events in highly dynamic environments"
    - "on the interplay between social and topical structure"
    - "folks in folksonomies social link prediction from shared metadata"
    - "influence and passivity in social media"

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)