In today’s competitive environment, business process reengineering has a great role in improving operational efficiency for most organizations. This paper bases on social network analysis (SNA) as a new approach to work over configurable efficiency for business process reengineering without respect to other factors. Organization is regard as the network where units or actor are as nodes and rel...

This introductory overview tutorial on social network analysis (SNA) demonstrates through theory and practical case studies applications to research, particularly on social media, digital interaction and behavior records. NodeXL provides an entry point for non-programmers to access the concepts and core methods of SNA and allows anyone who can make a pie chart to now build, analyze and visualiz...

AIMS To apply social network analysis (SNA) to investigate whether frequency and severity of gambling problems were associated with different network characteristics among friends, family and co-workers is an innovative way to look at relationships among individuals; the current study was the first, to our knowledge, to apply SNA to gambling behaviors. DESIGN Egocentric social network analysi...

Social networks collected by historians or sociologists typically have a large number of actors and edge attributes. Applying social network analysis (SNA) algorithms to these networks produces additional attributes such as degree, centrality, and clustering coefficients. Understanding the effects of this plethora of attributes is one of the main challenges of multivariate SNA. We present the d...

Social networks collected by historians or sociologists typically have a large number of actors and edge attributes. Applying social network analysis (SNA) algorithms to these networks produces additional attributes such as degree, centrality, and clustering coefficients. Understanding the effects of this plethora of attributes is one of the main challenges of multivariate SNA. We present the d...

This contribution presents a modeling approach for describing social issues in knowledge organizations. Social issues are one key factor in knowledge organizations for its business success. In the first part, a knowledge organization is described as a socio-technical system with heterarchic structures. Then modes for exploring social structures using Social Network Analysis (SNA) are introduced...

Web 2.0 provides new and valuable tools to the world of medicine, and Social Network Analysis (SNA) can provide insight into how these communication networks function. This paper explores the potential for SNA methods to explain the communication patterns in the Pediatric Pain Mailing List, including identifying content experts and isolating potential subgroups of interest. These results are in...

background: the aim of this study was to survey the iranian parasitology researchers’ performance, and analyse and visualize the scientific outputs of their co-authorship network. methods: this study was conducted using scientometric method and social network analysis (sna). the data extracted from the web of science (wos) databases in july 10th 2014. totally, 1048documents of all types in rese...

Social network analysis (SNA), a method which can be used to explore networks in various contexts, has received increasing attention. Drawing on the development of European smoke-free policy, this paper explores how a mixed method approach to SNA can be utilised to investigate a complex policy network. Textual data from public documents, consultation submissions and websites were extracted, con...

Fraud detection and analysis has traditionally involved a silo approach. Rarely does an investigator look across product lines to identify fraudulent connections. However, with the introduction of social network analysis (SNA), investigators are now able to detect data patterns within and across product lines as a potential crime ring or group is developing, saving companies from losses as the ...