Related Experiment Video
Updated: Apr 27, 2026

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
Published on: July 27, 2018
Privacy-preserving discovery of topic-based events from social sensor signals: an experimental study on Twitter
1Department of Computer Engineering, Yeungnam University, Gyeongsan 712-749, Republic of Korea.
Abstract:
Social network services (e.g., Twitter and Facebook) can be regarded as social sensors which can capture a number of events in the society. Particularly, in terms of time and space, various smart devices have improved the accessibility to the social network services. In this paper, we present a social software platform to detect a number of meaningful events from information diffusion patterns on such social network services. The most important feature is to process the social sensor signal for understanding social events and to support users to share relevant information along the social links. The platform has been applied to fetch and cluster tweets from Twitter into relevant categories to reveal hot topics.
More Related Videos
09:40Measuring Neural and Behavioral Activity During Ongoing Computerized Social Interactions: An Examination of Event-Related Brain Potentials
Published on: November 15, 2014
08:08Author Spotlight: Capturing Infant-Caregiver Interactions Through Synchronized Multimodal Data Collection
Published on: May 31, 2024
Related Concept Videos
Introducing Social Perception
Social Proof
Naturalistic Observations
Social Facilitation
Social Traps
Social Exchange Theory