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    題名: 利用指數隨機圖模型分析 YouTuber 間影片合作因素
    Analyzing Factors of Collaboration among YouTubers using Exponential Random Graph Models
    作者: 曾子朋
    Tseng, Zi-Peng
    貢獻者: 周珮婷
    陳怡如
    曾子朋
    Tseng, Zi-Peng
    關鍵詞: YouTuber
    影片合作
    社會網路分析
    社群偵測
    指數隨機圖模型
    YouTuber
    Video Collaboration
    Social Network Analysis
    Community Detection
    Exponential Random Graph Models
    日期: 2023
    上傳時間: 2023-08-02 13:04:51 (UTC+8)
    摘要: 社交媒體平台已成為現代社會中最受歡迎的溝通工具之一，改變了人們的交流方式。YouTuber作為社交媒體平台上具有影響力的個人，其在內容創作和品牌合作方面扮演著重要角色。然而，對YouTuber之間的影片合作關係尚未得到充分關注。本研究旨在探討YouTuber之間的影片合作關係及其影響因素。通過社會網路分析和ERGM模型，研究了百大YouTuber的合作網絡結構和關係性質。結果顯示，高訂閱數的YouTuber更傾向主動合作，低訂閱數的YouTuber則常作為合作對象。同質性、自身特徵、傳遞性和互惠性等因素也對合作關係產生影響。這些研究結果有助於深入了解YouTuber合作關係的本質，並提供對社交媒體平台中的人際關係和信息傳播變化趨勢的理解。同時，這些結果也能夠為YouTuber、品牌合作和內容創作等方面的制定更有效的策略提供指導。
    Social media platforms have become one of the most popular communication tools in modern society, transforming the way people interact. YouTubers, as influential individuals on social media platforms, play a crucial role in content creation and brand collaborations. However, the interrelationships and factors influencing video collaborations among YouTubers have received limited attention. This study aims to explore the collaborative relationships and influencing factors among YouTubers. By employing social network analysis and ERGM models, the collaboration networks and relationship characteristics of the top 100 YouTubers were investigated. The results reveal that YouTubers with a high number of subscribers are more likely to initiate collaborations, while those with a lower number of subscribers are often chosen as collaboration partners. Factors such as homophily, individual characteristics, transitivity, and reciprocity also influence the collaborative relationships. These findings contribute to a deeper understanding of the nature of YouTuber collaborations and provide insights into the changing trends of interpersonal relationships and information dissemination on social media platforms. Moreover, these results can guide the development of more effective strategies for YouTubers, brand collaborations, and content creation.
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    描述: 碩士
    國立政治大學
    統計學系
    110354020
    資料來源: http://thesis.lib.nccu.edu.tw/record/#G0110354020
    資料類型: thesis
    顯示於類別:[統計學系] 學位論文

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