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Modeling view count dynamics for YouTube videos: a multimodal perspective

计算机科学 上传 社会化媒体 频道(广播) 领域(数学) 透视图(图形) 口头传述的 多媒体 过程(计算) 计数数据 微博 万维网 广告 人工智能 统计 电信 数学 操作系统 纯数学 业务 泊松分布
作者
Adarsh Anand,Mohammed Shahid Irshad,Yogesh K. Dwivedi
出处
期刊:Kybernetes [Emerald Publishing Limited]
卷期号:51 (10): 2964-2986 被引量:8
标识
DOI:10.1108/k-02-2021-0154
摘要

Purpose YouTube allows its users to upload and view videos on its platform. YouTube provides notification to the subscribers whenever a channel uploads a new video thereby making the channel subscribers the potential viewers of the video. And thus, they are the first to come to know about any new offering. But later on, the view count also increases due to virality, that is, mass sharing of the content by the users on different social media platforms similar to word-of-mouth in the field of marketing. Therefore, the purpose of this paper is to examine different diffusion patterns as they can help to inflate traffic and generate revenue. Design/methodology/approach YouTube's view count grows majorly through virality. The pattern of view count growth has generally been considered unimodal in most of the available research in the field of YouTube. In the present work, the growth process due to views through the subscribers and views due to word-of-mouth (virality) is presented. Considering that the impact of virality in view count growth comes later in the video life cycle; the viewing patterns of both the segments have been mathematically modeled; independently. Findings Different models have been proposed to capture the view count growth pattern and how the impact of virality changes the view count growth curve and thereby results in a multimodal curve structure. The proposed models have been verified on various view count data sets of YouTube videos using SPSS (Statistical Package for the Social Sciences), and their ranks have been determined using a weighted criteria–based approach. The results obtained clearly depict the presence of many modes in the life cycle of view counts. Originality/value Till now, the literature is evident of the video life cycle following a bell shape curve. This study claims that the initial thrust is by subscribers and then the contribution in the view count by people watching via word-of-mouth comes into picture and brings in another hump in the growth curve.

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