Blog
No more endless PDFs. Discover the core value of the latest top-tier research in one article.
The role of experts in social media - Are the tertiary educated engaged?
Helping Elderly People and Persons with Disability to Access the Information Society
Integration of an XML electronic dictionary with linguistic tools for natural language processing
Simulating the No Alternatives Argument in a Social Setting
A glycan-based adjuvant expands the breadth and duration of protection of mRNA-based vaccines.
Dynamic Allocation for Complex Mobile Crowdsourcing Task with Internal Dependencies
Automatically Detecting Points of Interest and Social Networks from Tracking Positions of Avatars in a Virtual World
The Indian Spontaneous Expression Database for Emotion Recognition
Web Semantics: Science, Services and Agents on the World Wide Web
6981_Biohybrid systems for environmental intelligence on living plants WatchPlant project.
From offline to online: connecting people with a mobile social networking application at a conference
Edinburgh Research Explorer Strategies for Privacy Negotiation in Online Social Networks
6984_An educational genetic algorithms learning tool.
Incentive Mechanism Design for Crowdsourcing-Based Indoor Localization
A Neural Network Model for Social-Aware Recommendation
The Impact of Community Structure of Social Contact Network on Epidemic Outbreak and Effectiveness of Non-pharmaceutical Interventions
De-anonymizing Social Networks User via Profile Similarity
Interpersonal relationships are necessary for successful daily functioning and wellbeing. Numerous studies have demonstrated the importance of social connectivity for mental health, both through direct peer-to-peer influence and by the location of individuals within their social network. Passive monitoring using smartphones provides an advanced tool to map social networks based on the proximity between individuals. This study investigates the feasibility of using a smartphone app to measure and assess the relationship between social network metrics and mental health. The app collected Bluetooth and mental health data in 63 participants. Social networks of proximity were estimated from Bluetooth data and 95% of the edges were scanned at least every 30 minutes. The majority of participants found this method of data collection acceptable and reported that they would be likely to participate in future studies using this app. These findings demonstrate the feasibility of using a smartphone app that participants can install on their own phone to investigate the relationship between social connectivity and mental health
2017 IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC)
How Does Social Network Diversity Affect Users’ Lurking Intention Toward Social Network Services? A Role Perspective
Do You Write What You Are in Business Communications? Deriving Psychometrics from Enterprise Social Networks
Enemy at the Gate: Evolution of Twitter User's Polarization During National Crisis
LASS: Local-Activity and Social-Similarity Based Data Forwarding in Mobile Social Networks
Detection and Prediction of Users Attitude Based on Real-Time and Batch Sentiment Analysis of Facebook Comments
Explicit, Neutral, or Implicit: A Cross-cultural Exploration of Communication-style Preferences in Human Robot Interaction
Cross-hierarchical communication in Twitter conflicts
Computers & Security
What Is My Next Job: Predicting the Company Size and Position in Career Changes
Community discovery using social links and author-based sentiment topics
Modeling User Interests With Online Social Network Influence by Memory Augmented Sequence Learning