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: "online actions with offline impact how online social networks influence online and offline user behavior"
  Abstract: Many of today's most widely used computing applications utilize social networking features and allow users to connect, follow each other, share content, and comment on others' posts. However, despite the widespread adoption of these features, there is little understanding of the consequences that social networking has on user retention, engagement, and online as well as offline behavior. Here, we study how social networks influence user behavior in a physical activity tracking application. We analyze 791 million online and offline actions of 6 million users over the course of 5 years, and show that social networking leads to a significant increase in users' online as well as offline activities. Specifically, we establish a causal effect of how social networks influence user behavior. We show that the creation of new social connections increases user online in-application activity by 30%, user retention by 17%, and user offline real-world physical activity by 7% (about 400 steps per day). By exploiting a natural experiment we distinguish the effect of social influence of new social connections from the simultaneous increase in user's motivation to use the app and take more steps. We show that social influence accounts for 55% of the observed changes in user behavior, while the remaining 45% can be explained by the user's increased motivation to use the app. Further, we show that subsequent, individual edge formations in the social network lead to significant increases in daily steps. These effects diminish with each additional edge and vary based on edge attributes and user demographics. Finally, we utilize these insights to develop a model that accurately predicts which users will be most influenced by the creation of new social network connections.

Connected through hyperedge HE-1 (induced by source paper "unlocking social media and user generated content as a data source for knowledge management"):
  with members:
    - "web data extraction applications and techniques"
    - "automatic wrapper adaptation by tree edit distance matching"

Connected through hyperedge HE-2 (induced by source paper "modeling interdependent and periodic real world action sequences"):
  with members:
    - "how gamification affects physical activity large scale analysis of walking challenges in a mobile application"
    - "anyone can become a troll causes of trolling behavior in online discussions"
    - "harnessing the web for population scale physiological sensing a case study of sleep and performance"
    - "coevolve a joint point process model for information diffusion and network co evolution"
    - "portrait of an online shopper understanding and predicting consumer behavior"
    - "modeling adoption and usage of competing products"

Connected through hyperedge HE-3 (induced by source paper "i ll be back on the multiple lives of users of a mobile activity tracking application"):
  with members:
    - "how gamification affects physical activity large scale analysis of walking challenges in a mobile application"
    - "donor retention in online crowdfunding communities a case study of donorschoose org"
    - "wearable computing for health and fitness exploring the relationship between data and human behaviour"
    - "engaging with massive online courses"

Connected through hyperedge HE-4 (induced by source paper "mining actionable information from security forums the case of malicious ip addresses"):
  with members:
    - "trollspot detecting misbehavior in commenting platforms"
    - "anyone can become a troll causes of trolling behavior in online discussions"
    - "automatic labeling for entity extraction in cyber security"
    - "the anatomy of the facebook social graph"

Connected through hyperedge HE-5 (induced by source paper "beautiful and damned combined effect of content quality and social ties on user engagement"):
  with members:
    - "to click or not to click automatic selection of beautiful thumbnails from videos"
    - "the majority illusion in social networks"
    - "photo aesthetics ranking network with attributes and content adaptation"
    - "yfcc100m the new data in multimedia research"
    - "an image is worth more than a thousand favorites surfacing the hidden beauty of flickr pictures"
    - "the beauty of capturing faces rating the quality of digital portraits"
    - "imagenet large scale visual recognition challenge"
    - "6 seconds of sound and vision creativity in micro videos"

Connected through hyperedge HE-6 (induced by source paper "how gamification affects physical activity large scale analysis of walking challenges in a mobile application"):
  with members:
    - "harnessing the web for population scale physiological sensing a case study of sleep and performance"
    - "large scale analysis of counseling conversations an application of natural language processing to mental health"
    - "foodporn obesity patterns in culinary interactions"
    - "engaging with massive online courses"
    - "how to ask for a favor a case study on the success of altruistic requests"

Connected through hyperedge HE-7 (induced by source paper "harnessing the web for population scale physiological sensing a case study of sleep and performance"):
  with members:
    - "how gamification affects physical activity large scale analysis of walking challenges in a mobile application"
    - "large scale analysis of counseling conversations an application of natural language processing to mental health"
    - "from cookies to cooks insights on dietary patterns via analysis of web usage logs"

Connected through hyperedge HE-8 (induced by source paper "modeling individual cyclic variation in human behavior"):
  with members:
    - "how gamification affects physical activity large scale analysis of walking challenges in a mobile application"
    - "harnessing the web for population scale physiological sensing a case study of sleep and performance"
    - "pomegranate fast and flexible probabilistic modeling in python"

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)