Network analysis of Youtube videos based on keyword search with graph centrality approach
Network analysis of Youtube videos based on keyword search with graph centrality approach
复制标题
基于图中心性方法的关键词搜索的Youtube视频网络分析
DOI：
10.11591/ijeecs.v22.i2.pp780-786
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发表时间：
2021
影响因子：
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通讯作者：
Riyan Amanda
中科院分区：
文献类型：
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作者：
E. S. Negara;R. Andryani;Riyan Amanda
YouTube是一个拥有数十亿用户的社交媒体，可以用作宣传媒体，趋势，业务等。本研究的目的是利用图论中的视频标签来分析Youtube视频之间的相关性。这项研究中的数据收集使用了从Youtube网站上以链接、标题、关键字和标签的形式获取的抓取技术。本研究采用社会网络分析的方法，测量指标为度中心性和介数中心性。这项研究的结果表明，使用关键字搜索“病毒”的最受欢迎的主题标签是#KidflixPT，#Portugues和#Mondo，度中心值等于0.071875。以及与#Coronavirus最密切相关的视频之间的相关性，介数中心度值为0.082626。
Youtube is a social media that has billions of users, with this can be used as a promotional media, trends, business, and so forth. This study aims to analyze the correlation between Youtube videos by utilizing hashtags on video using graph theory. Data collection in this study uses scraping techniques taken from the Youtube website in the form of links, titles, keywords, and hashtags. The method used in this research is Social Network Analysis, the measurements used in this study are degree centrality and betweenness centrality. The results of this study indicate that the most popular hashtags with the keyword search for "viruses" are #KidflixPT, #Portugues, and #Mondo with degree centrality values equal to 0.071875. and the correlation between the most closely related videos about #Coronavirus with a value of betweenness centrality of 0.082626.