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Identifying Top-κ Nodes in Social Networks: A Survey

机译:识别社交网络中的前k个节点:一项调查

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摘要

Top-k nodes are the important actors for a subjectively determined topic in a social network. To some extent, a topic is taken as a ranking criteria for identifying top-k nodes. Within a viral marketing network, subjectively selected topics can include the following: Who can promote a new product to the largest number of people, and who are the highest spending customers? Based on these questions, there has been a growing interest in top-k nodes research to effectively identify key players. In this article, we review and classify existing literature on top-k nodes identification into two major categories: top-k influential nodes and top-k significant nodes. We survey both theoretical and applied work in the field and describe promising research directions based on our review. This research area has proven to be beneficial for data analysis on online social networks as well as practical applications on real-life networks.
机译:前k个节点是社交网络中主观确定主题的重要参与者。在某种程度上,主题被用作识别前k个节点的排名标准。在病毒式营销网络中,主观选择的主题可以包括以下内容:谁可以向最大数量的人推广新产品,谁是支出最高的客户?基于这些问题,人们对top-k节点研究以有效识别关键参与者的兴趣日益浓厚。在本文中,我们将关于top-k节点识别的现有文献进行回顾和分类,分为两大类:top-k影响节点和top-k有效节点。我们调查了该领域的理论和应用工作,并根据我们的评论描述了有前途的研究方向。事实证明,该研究领域对于在线社交网络上的数据分析以及现实生活网络中的实际应用是有益的。

著录项

  • 来源
    《ACM Computing Surveys》 |2020年第1期|22.1-22.33|共33页
  • 作者

  • 作者单位

    Univ Auckland Sch Comp Sci Auckland New Zealand|Pingar Auckland New Zealand;

    Univ Auckland Sch Comp Sci Auckland New Zealand;

    Pingar Auckland New Zealand;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Top-k nodes identification; social network graphs;

    机译:前k个节点标识;社交网络图;
  • 入库时间 2022-08-18 05:17:41

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