소셜 빅데이터를 활용한 게임 커뮤니티의 상호작용 연구: ˂러브 앤 딥스페이스˃ 웨이보 하이퍼토픽(微博超话)을 중심으로

초록

The purpose of this study is to analyze game community data and examine the interaction subjects and content patterns. The Weibo community of the otome game “Love and Deep Space” was selected as the subject of analysis. The research findings indicate that in the Weibo hypertopic community of “Love and Deep Space”, official accounts and content creators record statistically significant higher interaction metrics, such as likes, retweets, and comments, compared to general users, playing a crucial role in community activation. The types of interactions in the Weibo hypertopic are categorized into verbal and non-verbal symbols, where verbal symbols are interpreted based on a common cultural background, while non-verbal symbols, particularly video content, most effectively encourage user participation. Empirical data shows that posts containing videos significantly surpass the interaction levels of text-only content, and image content also received a higher response compared to text. Through these interactions, players accumulate emotional energy and social capital, leading to sustained engagement with the game, while also enhancing their sense of group belonging, expanding the game’ s influence, and achieving emotional satisfaction.

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