Analyzing Behavioral Trends in Community Driven Discussion Platforms Like Reddit
Analyzing Behavioral Trends in Community Driven Discussion Platforms Like Reddit
复制标题
分析 Reddit 等社区驱动的讨论平台中的行为趋势
DOI：
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
Lipika Dey
中科院分区：
文献类型：
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作者：
Sachin Thukral;Hardik Meisheri;Tushar Kataria;Aman Agarwal;Ishan Verma;Arnab Chatterjee;Lipika Dey
本文的目的是提出系统分析在Reddit等社区驱动的讨论平台中观察到的个人和群体行为模式的方法，用户在这些平台上就当前感兴趣的各种主题交换信息和观点。我们通过分析帖子的统计行为和建模用户交互来进行这项研究。我们选择Reddit作为一个例子，因为它已经从一个小社区成倍增长到最近最大的社交网络平台之一。由于其庞大的用户群和受欢迎程度，用户在其活动方面存在各种行为。我们的研究提供了关于大量不活跃帖子的有趣见解，这些帖子未能引起注意，尽管它们的作者表现出类似电子人的行为来吸引注意力。我们还提出了一些有趣的见解，这些见解是关于短命但非常活跃的帖子，它们模仿了像Mayfly Buzz这样的现象。此外，我们提出的方法，以找到周围的活动的性质，高度活跃的职位，以确定存在的聚光灯占用活动，如果有的话。我们分析了2008年全年超过200万个帖子和700多万个用户回复，以及2014年8月至2015年7月期间超过6300万个帖子和6.08亿个用户回复，共计两个一年期，以了解社交媒体空间多年来的演变。
The aim of this paper is to present methods to systematically analyze individual and group behavioral patterns observed in community driven discussion platforms like Reddit where users exchange information and views on various topics of current interest. We conduct this study by analyzing the statistical behavior of posts and modeling user interactions around them. We have chosen Reddit as an example, since it has grown exponentially from a small community to one of the biggest social network platforms in the recent times. Due to its large user base and popularity, a variety of behavior is present among users in terms of their activity. Our study provides interesting insights about a large number of inactive posts which fail to gather attention despite their authors exhibiting Cyborg-like behavior to draw attention. We also present interesting insights about short-lived but extremely active posts emulating a phenomenon like Mayfly Buzz. Further, we present methods to find the nature of activity around highly active posts to determine the presence of Limelight hogging activity, if any. We analyzed over 2 million posts and more than 7 million user responses to them during entire 2008 and over 63 million posts and over 608 million user responses to them from August 2014 to July 2015 amounting to two one-year periods, in order to understand how social media space has evolved over the years.