Exploring the community structure of a diabetes forum.

Stud Health Technol Inform

Norwegian Centre for Integrated Care and Telemedicine, University Hospital of North Norway, Tromsø, Norway.

Published: January 2013

A health forum is a kind of social network where users share information for specific topics they create. The purpose of this study was the identification of the key actors and the user communities in such a network. We used the publicly available data from a diabetes forum to create the corresponding network and explore several algorithms for the detection of user communities. The degree centrality of the network followed the power law distribution demonstrating that only a few users were the key actors in the forum. It was also shown that it is feasible to infer the top communities from a forum using certain algorithms; the key actors participated in these communities. Our approach could be applied to other health forums and be extended to examine additional aspects.

Download full-text PDF

Source

Publication Analysis

Top Keywords

key actors
12
diabetes forum
8
user communities
8
forum
5
exploring community
4
community structure
4
structure diabetes
4
forum health
4
health forum
4
forum kind
4

Similar Publications

Mobilising Cross-Sectoral Collaboration in Creating Age-Friendly Cities: Case Studies from Akita and Manchester.

Int J Environ Res Public Health

January 2025

Advanced Research Center for Geriatric and Gerontology (ARGG), Akita University, Akita 010-8502, Japan.

Developing Age-Friendly Cities and Communities (AFCCs) is an increasingly popular policy response to supporting ageing populations. AFCC programmes rely on cross-sectoral collaboration, involving partnerships among diverse stakeholders working across sectors to address shared goals. However, there remains a limited understanding of what mechanisms and strategies drive collaboration among diverse actors within age-friendly cities.

View Article and Find Full Text PDF

Synthesis mechanisms, property characterization, and environmental applications of biogenic FeS: A review.

Water Res

January 2025

Baohang Environment Co., LTD, Beijing 100070, China. Electronic address:

Iron sulfide (FeS) exhibits superior reactivity toward a wide range of contaminants, making it a promising candidate for environmental remediation in various media, including surface water, wastewater, soil, and groundwater. Driven by green and sustainable development principles, efficient, low-cost, and environmentally friendly biosynthesis has attracted considerable attention and has great environmental remediation potential. This review provides a comprehensive overview of the recent advances in biogenic FeS (bio-FeS), focusing on its synthesis mechanisms, performance characterization, and environmental applications.

View Article and Find Full Text PDF

Chain of Risks Evaluation (CORE): A framework for safer large language models in public mental health.

Psychiatry Clin Neurosci

January 2025

Shanghai Artificial Intelligence Laboratory, Shanghai, China.

Large language models (LLMs) have gained significant attention for their capabilities in natural language understanding and generation. However, their widespread adoption potentially raises public mental health concerns, including issues related to inequity, stigma, dependence, medical risks, and security threats. This review aims to offer a perspective within the actor-network framework, exploring the technical architectures, linguistic dynamics, and psychological effects underlying human-LLMs interactions.

View Article and Find Full Text PDF

Background: The provision of healthcare is complex. When evidence-practice gaps are identified, interventions to improve practice across multi-level systems are required. These interventions often consist of multiple interacting components and behaviours.

View Article and Find Full Text PDF

High-quality health systems are key to improving population health outcomes globally. In India, the National Quality Assurance Standards (NQAS) is a certification policy adopted by the government to improve the quality of care in public health facilities. This policy aims to assess public health facilities through a set of comprehensive, pre-defined standards derived from global best practices.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!