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Indian Premier League (IPL), Cricket, Online Social Media

机译:印度超级联赛(IpL),板球,在线社交媒体

摘要

In recent past online social media has played a pivotal role in sharing ofinformation and opinions on real time events. Events in physical space arereflected in digital world through online social networks. Event based studiesfor such content have been widely done on Twitter in the computer sciencecommunity. In this report, we performed a detailed analysis of a sports eventcalled the Indian Premier League (IPL'13) for both Facebook and Twitter. IPL isthe most popular cricket league in India with players from across the world. Weanalysed more than 2.6 million tweets and 700 thousand Facebook posts fortemporal activity, text quality, geography of users and the spot-fixing scandalwhich came up during the league. We were able to draw strong correlationsbetween the brand value of teams and how much they were talked about on socialmedia across Facebook and Twitter. Analysis of geo-tagged data showed majoractivity from metropolitan suburbs however activity was not restricted to theregions geographically associated with each team. We present a decaycalculation methodology, using which we derive that activity died down on bothTwitter and Facebook in a very similar manner. Such analysis can be used tomodel events and study their penetration in social networks. We analysed textfor spot-fixing and found that user response to allegations about matches beingfixed was cold. The complete analysis presented in this report, can beparticularly useful for studying events involving crisis or events of politicalimportance having similar structure.
机译:近年来,在线社交媒体在共享实时事件的信息和观点方面起着举足轻重的作用。物理空间中的事件通过在线社交网络反映在数字世界中。针对此类内容的基于事件的研究已在计算机科学社区的Twitter上广泛进行。在此报告中,我们对Facebook和Twitter的一项名为“印度超级联赛(IPL'13)”的体育赛事进行了详细分析。 IPL是印度最受欢迎的板球联赛,来自世界各地的球员都参加了比赛。我们分析了超过260万条推文和70万条Facebook帖子,以显示联盟期间出现的临时活动,文本质量,用户地理位置以及定点丑闻。我们能够在团队的品牌价值与在Facebook和Twitter上的社交媒体上谈论他们的人数之间建立强烈的关联。带有地理标签的数据的分析显示,主要活动来自大都市郊区,但活动不限于与每个团队地理相关的区域。我们提供了一种衰减计算方法,使用该方法可以得出推论活动在Twitter和Facebook上以类似的方式消失的情况。此类分析可用于建模事件并研究事件在社交网络中的渗透。我们分析了用于固定位置的文本,发现用户对有关固定匹配的指控的反应很冷淡。本报告提供的完整分析对于研究涉及危机的事件或具有类似结构的政治重要性事件尤其有用。

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