Online Social Networking may be a way to support health professionals' need for continuous learning through interaction with peers and experts. Understanding and evaluating such learning is important but difficult, and Social Network Analysis (SNA) offers a solution. This paper demonstrates how SNA can be used to study levels of participation as well as the patterns of interactions that take pl...

We empirically explore the associations between social media usage at home and shopping preferences using survey data. We focus on popular retail firms including brick-and-mortar firms such as Walmart, Target, Nordstrom, and Best Buy, and online retailers, such as Amazon, Walmart, Target, and Best Buy. Social media usage of popular platforms such as Facebook, Twitter, LinkedIn, and Skype are an...

This paper analyzes the level of scientific collaboration and interaction in different subject fields using a novel social network analysis (SNA) on a data set provided by the Department of Energy (DOE) Office of Scientific and Technologic Information (OSTI) in Oak Ridge, Tennessee. This paper not only determines the level of scientific collaboration between different disciplines, but it also a...

This paper provides a comprehensive overview of evolution and innovation in social network analysis to the paradigm of social networking. It explains how the development of sociological theory and the structural properties of social groups matter to computer science and communications. Authors such as Moreno, John Barnes and Harrison C. White provide evidence of a growing body of literature add...

In online forums or virtual communities, the interactive relationships among members are similar to actual interpersonal social networks. Each member’s position in the social network affects the individual’s ability to resources for data or organized information. The position of members in networks also considerably affects the degree of opportunity to engage in activities that share individual...

Positional and relational perspectives on network data have led to two different research traditions in textual analysis and social network analysis, respectively. Latent Semantic Analysis (LSA) focuses on the latent dimensions in textual data; social network analysis (SNA) on the observable networks. The two coupled topographies of information-processing in the network space and meaning-proces...

This paper endeavors to bring together two largely disparate areas of research. On one hand, text mining methods treat each document as an independent instance despite the fact that in many text domains, documents are linked and their topics are correlated. For example, web pages of related topics are often connected by hyperlinks and scientific papers from related fields are typically linked b...

PURPOSE American Indian and Alaska Native scientists are consistently among the most underrepresented minority groups in health research. The authors used social network analysis (SNA) to evaluate the Native Investigator Development Program (NIDP), a career development program for junior Native researchers established as a collaboration between the University of Washington and the University of...

One of the core issues in data and knowledge transfer is the appropriateness of transfer mechanisms. Often, understanding of problems and decision making by knowledge workers, can be improved by appropriate information and knowledge visualization. As businesses turn towards collaboration and innovation for competitive advantage, Social Network Analysis (SNA) tools have provided means of underst...