计算机科学
游戏娱乐
可视化
框架(结构)
探索性研究
服务(商务)
电子游戏
万维网
数据科学
多媒体
工程类
经济
艺术
社会学
视觉艺术
人工智能
经济
结构工程
人类学
标识
DOI:10.1177/1473871617717075
摘要
In current Game Research, gaming service platforms such as PlayStation Network, Steam, and Twitch.tv represent a still poorly investigated topic. Despite the millions of monthly viewers and members, little efforts have been done to shed light on their dynamics and trends. This article aims to address such a lack by presenting the findings of an empirical inquiry guided by the key concepts of “platform” and “actor–network theory” with the support of a novel network visualization technique. Specifically, the role-playing game Dark Souls 3–related activity on Steam and Twitch.tv was collected for the first 20 days from the release (12 April–1 May 2016). Targeted data concerned several variables among which: most viewed streamers, streaming types, debating topics and reviews’ highlights on Steam (etc.) through screenshots, user-generated content, and text gathering. Data were processed and then visualized with the network-oriented software Gephi for uncovering associations and patterns in the targeted online environments. The action game The Division worked as an exploratory case study and counter-example for stressing the proposal. Although with some limitations, the visualization strategy adopted (four networks for each platform) proved to be effective in framing and communicating the results in a straightforward way. Finally, findings enlightened a phenomenon (i.e. gaming service platforms), that is, getting increasingly central in digital entertainment, and might inform further investigations with alternative designs and focuses.
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