Authors: Niyati Aggrawal; Anuja Arora
Addresses: Jaypee Institute of Information Technology, A-10, Sector-62, Noida-201 309, Uttar Pradesh, India ' Jaypee Institute of Information Technology, A-10, Sector-62, Noida-201 309, Uttar Pradesh, India
Abstract: Today, our virtual and real worlds are indistinguishably intertwined. In the era of smart interaction, each and everyone prefers immediate connect through internet as a virtual medium even though they are located at same place. YouTube is a well known and most vibrant site to share or upload any type of videos (personal, professional, educational, etc.) as a social media community site. To bring out the video more and more viral or popular, one has to study about the behaviour of users on these social sites so that the posted content characteristics can be mapped in advance. In this work, the behaviour of viewers has been projected on the basis of the length of video and the age of video. Engagement analysis of the YouTube videos has been done between the video characteristics (video length and video age) and video watchers on the basis of video view-count. Video length and video aged-based analysis is done to examine the viewers' behaviour and analysis results are validated using correlation coefficient.
Keywords: YouTube; virality model; video statistics; video metric; social network analysis; correlation analysis.
International Journal of Business Innovation and Research, 2019 Vol.20 No.1, pp.106 - 128
Received: 14 Jul 2017
Accepted: 07 Apr 2018
Published online: 14 Aug 2019 *