Abstract
Multiplayer online battle arena is a genre of online games that has become extremely popular. Due to their success, these games also drew the attention of our research community, because they provide a wealth of information about human online interactions and behaviors. A crucial problem is the extraction of activity patterns that characterize this type of data, in an interpretable way. Here, we leverage the Non-negative Tensor Factorization to detect hidden correlated behaviors of playing in a well-known game: League of Legends. To this aim, we collect the entire gaming history of a group of about 1000 players, which accounts for roughly 100K matches. By applying our framework we are able to separate players into different groups. We show that each group exhibits similar features and playing strategies, as well as similar temporal trajectories, i.e., behavioral progressions over the course of their gaming history. We surprisingly discover that playing strategies are stable over time and we provide an explanation for this observation.
Highlights
Multiplayer Online Battle Arena (MOBA) is a genre of strategy online games that has drawn growing attention and has become extremely popular
Given a dataset composed by users, whose features evolve over time, we aim at extracting meaningful patterns of behavior by applying tensor decomposition techniques
We focus on the Non-negative Tensor Factorization which is given by the PARAFAC/CANDECOMP (CP) decomposition with non-negative constraints [30]
Summary
Multiplayer Online Battle Arena (MOBA) is a genre of strategy online games that has drawn growing attention and has become extremely popular. The main goal in each match is to destroy the enemy team’s base, while enhancing the player level, increasing the abilities of the controlled character, and cooperating with one’s own teammates. This genre of games, including Heroes of the Storm, Dota 2, and League of Legends, has attracted researchers from different fields, especially because they provide a unique way to study the influence of role-playing in competitive games [1,2], the impact of cooperation [3,4] versus individual player attitudes [5,6], social behaviors [7,8,9], user commitment [10], etc. The analysis of MOBA games allows for the discovery of useful information to study the social dynamics of player communities
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