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Online Game Technology Summit: Observing Changes: Time-Dependent Social Network Visualization and Community Behavior Pattern Analysis

Yiheng Zhou  (Senior Data Analyst, LeoCool Games)

Pass Type: All Access Pass, Summits Pass - Get your pass now!

Topic: Programming

Format: Session

Vault Recording: TBD

Audience Level: Yes

The visualization of social network data has always faced the problem of being too complicated and lack of readability. This problem becomes even more acute when it comes to observing and analyzing how social networks evolve. The group explores visualization schemes and corresponding analysis methods for temporal social networks and analyzes the patterns of social behaviors of different players and groups in games. By distinguishing the different information densities of temporal social networks at the levels of groups and individuals, accordingly, they create highly readable visualization and analysis methods and analyze the actual data of a typical newly opened online game.


The audience can learn how to conduct visual monitoring of temporal social networks and analysis of typical patterns of players' social behaviors, and they can understand how the social behavior patterns evolve in a typical newly opened online game

Intended Audience

The target audience would be online game designers and operators who want to know more about players' social behavior patterns, and game data analysts who need to gain more insights about how to conduct temporal social networking analysis.