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 "achievement and friends key factors of player retention vary across player levels in online multiplayer games"):
  Abstract: Retaining players over an extended period of time is a long-standing challenge in game industry. Significant effort has been paid to understanding what motivates players enjoy games. While individuals may have varying reasons to play or abandon a game at different stages within the game, previous studies have looked at the retention problem from a snapshot view. This study, by analyzing in-game logs of 51,104 distinct individuals in an online multiplayer game, uniquely offers a multifaceted view of the retention problem over the players' virtual life phases. We find that key indicators of longevity change with the game level. Achievement features are important for players at the initial to the advanced phases, yet social features become the most predictive of longevity once players reach the highest level offered by the game. These findings have theoretical and practical implications for designing online games that are adaptive to meeting the players' needs.

Includes members:
  Member "exploring cyberbullying and other toxic behavior in team competition online games":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "detecting cyberbullying and cyberaggression in social media")
  Member "persistent sharing of fitness app status on twitter":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "does journaling encourage healthier choices analyzing healthy eating behaviors of food journalers")
  Member "the proficiency congruency dilemma virtual team design and performance in multiplayer online games":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "the art of drafting a team oriented hero recommendation system for multiplayer online battle arena games")
  Member "linguistic analysis of toxic behavior in an online video game":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "machine learning and semantic analysis of in game chat for cyberbullying")
  Member "stfu noob predicting crowdsourced decisions on toxic behavior in online games":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "intergroup contact in the wild characterizing language differences between intergroup and single group members in nba related discussion forums")

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)