Visual Analytics of Dynamic Interplay Between Behaviors in MMORPGs

Lu, Junhua; Xie, Xiao; Lan, Ji Wu; Peng, Tai‐Quan; Chen, Wei; Wu, Yingcai

doi:10.1109/pacificvis.2019.00021

Cited by 3 publications

(3 citation statements)

References 39 publications

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“…2) The social network of a small group is inclined to accommodate newcomers, mainly reflected in two aspects: a higher proportion of newcomers in the entire network; and the possibility for newcomers to slowly change or develop their social roles into more central positions. 3) Compared with the core group, the threshold for newcomers to be integrated into a small group is lower [36,37], e.g., through a mentor-apprentice relationship or fighting against game dungeons with existing members. Furthermore, because the network is developed from multiple small groups, newcomers are more likely to hold relatively central positions as the network develops [36].…”

Section: Discussionmentioning

confidence: 99%

“…Ducheneaut et al [17] and Chen et al [13] used traditional metrics in social network analysis such as density and centrality to analyze the properties of player guilds in WoW. Lu et al [37] proposed BeXplorer to explore the dynamic interplay among multiple types of behaviors. Li et al [36] investigated the evolution of egocentric players and focused on the relationship between a player (ego) and his/her directly linked friends (alters).…”

Section: Social Network Analysis In Mmorpgsmentioning

confidence: 99%

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RoleSeer: Understanding Informal Social Role Changes in MMORPGs via Visual Analytics

Xie

et al. 2022

CHI Conference on Human Factors in Computing Systems

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Massively multiplayer online role-playing games create virtual communities that support heterogeneous "social roles" determined by gameplay interaction behaviors under a specific social context. For all social roles, formal roles are pre-defined, obvious, and explicitly ascribed to the people holding the roles, whereas informal roles are not well-defined and unspoken. Identifying the informal roles and understanding their subtle changes are critical to designing sociability mechanisms. However, it is nontrivial to understand the existence and evolution of such roles due to their loosely defined, interconvertible, and dynamic characteristics. We propose a visual analytics system, RoleSeer, to investigate informal roles from the perspectives of behavioral interactions and depict their dynamic interconversions and transitions. Two cases, experts' feedback, and a user study suggest that RoleSeer helps interpret the identified informal roles and explore the patterns behind role changes. We see our approach's potential in investigating informal roles in a broader range of social games. CCS CONCEPTS• Human-centered computing → Human computer interaction (HCI); Visualization; User studies.

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Section: Discussionmentioning

confidence: 99%

Section: Social Network Analysis In Mmorpgsmentioning

confidence: 99%

RoleSeer: Understanding Informal Social Role Changes in MMORPGs via Visual Analytics

Xie

et al. 2022

CHI Conference on Human Factors in Computing Systems

View full text Add to dashboard Cite

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“…Visual Analysis on Temporal Data. If we wish to visualize the time flow of a single type of attribute, a two-dimensional flow-based temporal data visualization, e.g., bar chart or line chart, is a widely accepted method (Krueger et al, 2016;Lu et al, 2019). In flow-based visualization, the X-axis is the time, and the Y-axis is the one-dimensional scalar value of the attribute, generally.…”

Section: Related Workmentioning

confidence: 99%

Visual Exploration System for Analyzing Trends in Annual Recruitment Using Time-varying Graphs

Yokoyama,

Okada,

Taniguchi

2020

Preprint

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Annual recruitment data of new graduates are manually analyzed by human resources specialists (HR) in industries, which signifies the need to evaluate the recruitment strategy of HR specialists. Every year, different applicants send in job applications to companies. The relationships between applicants' attributes (e.g., English skill or academic credential) can be used to analyze the changes in recruitment trends across multiple years' data. However, most attributes are unnormalized and thus require thorough preprocessing. Such unnormalized data hinder the effective comparison of the relationship between applicants in the early stage of data analysis. Thus, a visual exploration system is highly needed to gain insight from the overview of the relationship between applicants across multiple years. In this study, we propose the Polarizing Attributes for Network Analysis of Correlation on Entities Association (Panacea) visualization system. The proposed system integrates a time-varying graph model and dynamic graph visualization for heterogeneous tabular data. Using this system, human resource specialists can interactively inspect the relationships between two attributes of prospective employees across multiple years. Further, we demonstrate the usability of Panacea with representative examples for finding hidden trends in real-world datasets and then describe HR specialists' feedback obtained throughout Panacea's development. The proposed Panacea system enables HR specialists to visually explore the annual recruitment of new graduates.

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MediVizor: Visual Mediation Analysis of Nominal Variables

Lan

Xie

et al. 2024

IEEE Trans. Visual. Comput. Graphics

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Visual Analytics of Dynamic Interplay Between Behaviors in MMORPGs

Cited by 3 publications

References 39 publications

RoleSeer: Understanding Informal Social Role Changes in MMORPGs via Visual Analytics

RoleSeer: Understanding Informal Social Role Changes in MMORPGs via Visual Analytics

Visual Exploration System for Analyzing Trends in Annual Recruitment Using Time-varying Graphs

MediVizor: Visual Mediation Analysis of Nominal Variables

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