大型社会网络中具有适宜性约束的动态群体形成

Reshawn Ramjattan, Nicholas Hosein, Patrick Hosein, A. Knoesen
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引用次数: 1

摘要

对于那些为了特定目的而组建团队的人来说,比如一个业余项目或学习小组,一旦他们在寻找队友的过程中耗尽了自己的社交圈,挑战就会很快出现。在当前的大流行之后,由于缺乏面对面的活动,结识适合特定团队的新人比以前更加困难。在社交媒体平台上,用户通常拥有庞大的朋友网络,但其中很少有亲密的个人关系。所以,在那些帖子上寻找那些兼容的人,分享相同的目标,对利基群体感兴趣,充其量是有希望的。我们提出了一个可扩展的框架,用于建立小型在线小组,平衡两个目标,向用户提供最佳小组推荐,并指导小组主持人为他们的小组找到最佳用户。我们使用三个用例来说明这个框架,并使用大型社交媒体数据集来评估无服务器实现,以模拟生产环境。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamic Group Formation with Suitability Constraints in large Social Networks
For people seeking to form a team for a specific purpose, like a side project or study group, challenges quickly arise once they have exhausted their social circle in the search for teammates. In the wake of the current pandemic, meeting new people that are right for a specific team is even more difficult than before due to the lack of in-person events. On social media platforms, users often have large networks of friends but have very few close personal relationships in them. So, posting on those to look for people that are compatible, share the same goal and are interested in the niche group, is being hopeful at best. We present a scalable framework for establishing small online groups that balances two objectives, making the best group recommendations to users and guiding group hosts to the best users for their group. We illustrate this framework using three use cases and evaluate a server-less implementation using a large social media dataset to simulate a production environment.
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