Social networking is profoundly changing the way that people communicate and interact on a daily basis. As e-Science is inherently collaborative, social networks can serve as a vital means for supporting information and resource sharing, aiding discovery of connected individuals, improving communication between globally dispersed individuals, and even measuring scientific impact. Consequently, e-Science systems are increasingly integrating social networking concepts to improve collaboration. For example researcher profiles and groups exist in publication networks, such as Google scholar and Mendeley, and e-Science infrastructures, such as MyExperiment, NanoHUB and GlobusOnline all utilize social networking principles to enhance scientific collaboration. In addition to incorporating explicit social networks, e-Science infrastructures can also leverage implicit social networks extracted from relationships expressed in collaborative activities (e.g. publication and grant authorship or citation networks).

This workshop aims to bring together researchers from a diverse range of areas to establish a new community focused on the application of social networking to analyze and improve scientific collaboration. There are two complementary areas of focus for this workshop 1) how to efficiently share infrastructure and software resources, such as data and tools through social networks, and 2) how to analyze and enhance collaboration in e-Science through both implicit and explicit social networks, for example analyzing scientific impact through citation networks or improving collaboration by associating data and tools with networks of publications and researchers.
Scope of workshop

The topics of interest are, but not limited to, the use of social networks to analyze and improve collaborative e-Science:

The use of social networks and social networking concepts in e-Science and eResearch
Social network applications used for e-Science
Social network based resource sharing and collaboration architectures
New forms of collaborative computing and resource sharing
Crowdsourcing of scientific applications using social media
Social Cloud computing
Novel applications of digital relationships and trust
Definition of novel principals, models and methodologies for harnessing digital relationships
Extraction of implicit social networks from scientific activities (publication, citation and grants)
Analysis of collaborative scientific activity through social networks

Submission instructions:

Authors are invited to submit papers containing unpublished, original work (not under review elsewhere) of up to 8 pages of double column text using single spaced 10 point size on 8.5 x 11 inch pages, as per IEEE 8.5 x 11 manuscript guidelines.

Templates are available from: http://www.ieee.org/conferences_events/conferences/publishing/templates.html.

Authors should submit a PDF file that will print on a PostScript printer. Papers conforming to the above guidelines can be submitted through the workshop's paper submission system: http://www.easychair.org/conferences/?conf=eson2014

At least one author of each accepted submission must attend the workshop and all workshop participants must pay the e-Science 2014 registration fee. All accepted papers will be published by the IEEE in the same volume as the main conference. All papers will be reviewed by an International Programme Committee (with a minimum of 3 reviews per paper). Papers submissions should be performed using the easychair system