跟随追随者:在twitter上发现有共同兴趣的社区

Kwan Hui Lim, A. Datta
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引用次数: 42

摘要

我们提出了一种有效的方法来检测Twitter上共享共同兴趣的社区,该方法基于代表兴趣类别的名人的追随者之间的联系。这种方法不同于现有的方法,即在确定这些社区的兴趣之前检测所有社区,这是一个计算密集型的过程,因为在线社交网络的规模很大。此外,我们还研究了这些社区的特征以及兴趣深化或专业化的影响。
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Following the follower: detecting communities with common interests on twitter
We propose an efficient approach for detecting communities that share common interests on Twitter, based on linkages among followers of celebrities representing an interest category. This approach differs from existing ones that detects all communities before determining the interest of these communities, a computationally intensive process given the large scale of online social networks. In addition, we also study the characteristics of these communities and the effects of deepening or specialization of interest.
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HT '22: 33rd ACM Conference on Hypertext and Social Media, Barcelona, Spain, 28 June 2022- 1 July 2022 HT '21: 32nd ACM Conference on Hypertext and Social Media, Virtual Event, Ireland, 30 August 2021 - 2 September 2021 HT '20: 31st ACM Conference on Hypertext and Social Media, Virtual Event, USA, July 13-15, 2020 Detecting Changes in Suicide Content Manifested in Social Media Following Celebrity Suicides. QualityRank: assessing quality of wikipedia articles by mutually evaluating editors and texts
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