EngageNet数据集是由印度理工学院罗帕尔分校创建的大型多维度用户参与度预测数据集。该数据集包含31小时的数据，涵盖127名参与者在不同光照条件下的行为和认知参与度。数据集通过设计一项研究收集，参与者观看三个刺激视频并通过网络互动平台回答相关问题。EngageNet旨在通过捕捉行为和认知方面的参与度，为开发真实世界条件下的参与度预测系统提供丰富的数据支持。该数据集的应用领域包括教育、用户体验研

arXiv2023-08-17 更新2850

Figshare Table 1 Tables & Operational definitions 190324.pdf

参与者参与度

信息实践

The study identifies factors influencing professional associations’ member engagement using the “information practices” approach. In this autoethnography study, the experiences, epiphanies, and the fr

DataCite Commons2024-03-28 更新140

Do Conference Livetweets Get More Traffic?

社交媒体分析

参与者参与度

Engagement metrics for 313 tweets (239 from a conference)

kaggle2017-10-26 更新80

Who Leads Your Opinion? Opinion Leaders’ Influence on Virtual Engagement

意见领袖

参与者参与度

Abstract Digital influencers are virtual opinion leaders that represent an alternative for companies targeting to advertise at the community surrounding these individuals. These individuals expand con

DataCite Commons2020-08-31 更新140

Focus group data for: Claims to ignorance as a form of participation in transitional justice

过渡时期司法

参与者参与度

Transitional justice is premised on participation that allows local publics to construct, critique and have some ownership over the process. The current scholarship assumes that individuals openly exp

DataONE2026-01-10 更新90

Affluenze Elezioni amministrative e referendum 2022

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