SNHB-SPRINGER 2014 : Social Networks in Healthcare and Biomedicine
Call For Papers
CALL FOR CHAPTERS
Annals of Information Systems (published by Springer)
Special Issue on Social Networks in Healthcare and Biomedicine
Athina Lazakidou, Ph.D, University of Peloponnese, Greece ( email@example.com )
Stelios Zimeras, Ph.D, University of the Aegean, Greece ( firstname.lastname@example.org )
This upcoming book will cover cutting edge research topics of utmost real-world importance in the specific domain of social networks, and will present studies from leading researchers and practitioners in the field.
Social network allow users to share ideas, activities, events, interests with in their individual networks online. A social structure made of nodes that are generally individuals or organizations. A social network represents relationships between people, groups, organizations, animals, computers or other information/knowledge processing entities. The social network allows social relations among people who, for example, share interests, activities, backgrounds, or real-life connections. A social network service consists of a representation of each user (often a profile), his/her social links, and a variety of additional services. Most social network services are web-based and provide means for users to interact over the Internet, such as e-mail and instant messaging.
As soon as we consider a social network as the concatenation of groups, we begin to focus on the information diffusion in groups. One of the main problems in the mass diffusion of information is that once the information is released, no one can predict the impact it will have on the masses. When spreading information to the masses, we have no access as to who will act on the information first, and so we surrender our own bias as to what the information means. With this process, we are then able to recognize patterns and preferences in the clusters so that it becomes possible to analyze which group can spread the information in such a way that it keeps the sense we want to impart. As a consequence, this new approach might be able to help event coordination and mass manipulation
The social network then became a way of promoting and conveying ideas, information and tools between people with common ideas, common goals, and common interests.
Social network analysis (SNA) is a process of quantitative and qualitative analysis of a social network. SNA measures and maps the flow of relationships and relationship changes between knowledge-possessing entities. Simple and complex entities include websites, computers, animals, humans, groups, organizations and nations. The social network data is described by a specialized language and quiet different from conventional data, and leads to apply statistics. Therefore network data are defined by actors and relations. The network analysis focuses on relations on actors. Network analysis is formulation and solution of problems that have network structure and captures in a graph. Graph theory provides methods and concepts for graphs and SNA methods used to analyze and visualize social networks.
Social networks hold considerable potential value for health care organizations because they can be used to reach aggregate information and leverage collaboration. As more patients use social networks to track their health conditions and care, industry organizations have an opportunity to interact with the members of these online communities and to leverage “real world” data sets to inform new treatments and care pathways.
While traditionally social network analysis has had a strong synergy with healthcare models there is still a clear gap between the social network mining techniques in several healthcare processes.
The goal of this new book is to provide a principled approach to classification using the available data in a model which combines information from the social network and the healthcare models.
This upcoming special issue on Social Networks in Healthcare and Biomedicine invites researchers to explore issues relating to the design, development, and outcomes from electronic groups and online communities, how and why participants are drawn to them, how co‐creation and innovation take place, how to harness knowledge exchange and collaboration. We welcome both theoretical and empirical works that employ both diverse methodologies and philosophical perspectives. This special issue will present studies from leading researchers and practitioners focusing on the current challenges, directions, trends and opportunities associated with virtual communities and their supporting technologies.
Topics of Interest (include but are not limited):
• Virtual knowledge sharing and knowledge management
• Design and evaluation of collaborative and networking applications
• Social media and mental health
• Social media and primary healthcare
• Social media and healthcare marketing
• Social media and crisis communications
• Social media and professional development
• Social media and patient support
• Social media for managing chronic illness
• Social media as a means of connecting to disadvantaged communities
• Social media risk management and ethics
• Social network-based virtual organizations for biomedical research
• Social network analysis of virtual community participants
• M-Health Applications
• New and emerging Technologies
Each manuscript has to comply with the journal’s typing instructions and will be peer-reviewed according to the standards of an esteemed international journal. Reflecting the theme of the special issue, the quality and originality of the contribution will serve as major acceptance criteria for each submission. To enable a timely publication of the special issue, papers which are unequivocally out of scope will be rejected without detailed review.
• Deadline for manuscripts: 30th April 2014
• Notification of authors: 20th May 2014
• Revision due: 20th June 2014
• Publication Date: in 2014
Manuscripts should be submitted in pdf format via e-mail to email@example.com or firstname.lastname@example.org . Papers should provide a cover page containing paper title, authors – including indication of corresponding author – and a short statement of contribution (max. 100 words ). The cover page can be submitted within the same .pdf file as the main text. The manuscript must be typewritten in English and 1.5 spaced throughout. Chapters should not exceed 6,000 words including abstract and references.
Information about Annals of Information Systems:
Annals of Information Systems Series
Published by Springer
Editors: Ramesh Sharda, Stefan Voß
Annals of Information Systems comprises serialized volumes that address a specialized topic or a theme. Annals of Information Systems publishes peer reviewed works in the analytical, technical as well as the organizational side of information systems. Annals of Information Systems focuses on high quality scholarly publications. The numbered volumes are guest-edited by experts in a specific domain. Some volumes may be based upon refereed papers from selected conferences. Annals of Information Systems volumes are available as individual books as well as a serialized collection. Annals of Information Systems is allied with the "Integrated Series in Information Systems".
Athina Lazakidou, PhD
Assistant Professor of Health Informatics
University of Peloponnese
Faculty of Human Movement and Quality of Life
Department of Nursing
Orthias Artemidos & Plateon
GR-23100, Sparti, GREECE
Stelios Zimeras, PhD
University of the Aegean
Department of Statitsics and Actuarial-Financial Matematics
GR-83200, Karlovassi, Samos, GREECE