Discovering socially similar users in social media datasets based on their socially important locations

作者:

Highlights:

• User similarity discovery from social media datasets problem is discussed.

• A novel interest measure is proposed to discover socially similar users using socially important locations of social media users.

• Two novel algorithms are proposed to discover socially similar users.

• Proposed algorithms are experimentally evaluated using real Twitter social media dataset.

摘要

•User similarity discovery from social media datasets problem is discussed.•A novel interest measure is proposed to discover socially similar users using socially important locations of social media users.•Two novel algorithms are proposed to discover socially similar users.•Proposed algorithms are experimentally evaluated using real Twitter social media dataset.

论文关键词:Spatial social media mining,Socially similar users,Mining user similarity,Socially important locations,Twitter

论文评审过程:Received 2 November 2017, Revised 27 July 2018, Accepted 7 August 2018, Available online 20 August 2018, Version of Record 20 August 2018.

论文官网地址:https://doi.org/10.1016/j.ipm.2018.08.004

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