The significance of temporal changes in the topology of organizational communication networks during a crisis is studied using static and dynamic social network analysis (SNA). In static SNA, the network of interactions made during an entire data collection period is studied. For dynamic SNA, shorter segments of network data are used in the analysis. Using measures of degree centrality and core...

Online communities and social software are revolutionizing the way we interact with the web. Analysing the interactions that take place there is complex. Social Network Analysis (SNA) is a powerful way of doing such analysis. This tutorial provides a detailed introduction to SNA. The theory is backed up with a number of practical case studies.

BACKGROUND Social network analysis (SNA) is an innovative approach to the collection and analysis of infectious disease transmission data. We studied whether this approach can detect patterns of Mycobacterium tuberculosis transmission and play a helpful role in the complex process of prioritizing tuberculosis (TB) contact investigations. METHODS We abstracted routine demographic and clinical ...

In recent years, the use of social network analysis (SNA) has received increased attention in R&D evaluation. While SNA provides insights into communication and knowledge flows, its efficacy in evaluation methodology remains unclear. As Rogers et al (2001) discuss, the applicability of SNA in the evaluation of R&D is marked by several shortcomings, such as the weakness of understanding the cont...

The most productive learning experience for students whether online or in face-to-face classes can often be the interaction among students and with an instructor. Online teaching and Social Network Analysis (SNA) offer the opportunity to examine intellectual social networking and strategies that promotes student interaction which can enhance learning. This study focuses on two online courses in...

Social Network Analysis (SNA) provides graph algorithms to characterize the structure of social networks, strategic positions in these networks, specific sub-networks and decompositions of people and activities. Online social platforms like Facebook form huge social networks, enabling people to connect, interact and share their online activities across several social applications. We extended S...

The advisory feasibility of Social Network Analysis (SNA) to study social networks have encouraged the law enforcement and security agencies to investigate the terrorist network and its behavior along with key players hidden in the web. The study of the terrorist network, utilizing SNA approach and Graph Theory where the network is visualized as a graph, is termed as Investigative Data Mining o...

PURPOSE Social network analysis (SNA) provides a way of quantitatively analyzing relationships among people or other information-processing agents. Using 2 practices as illustrations, we describe how SNA can be used to characterize and compare communication patterns in primary care practices. METHODS Based on data from ethnographic field notes, we constructed matrices identifying how practice...

This study proposes novel hybrid social network analysis and collaborative filtering approach to enhance the performance of recommender systems. The proposed model selects subgroups of users in Internet community through social network analysis (SNA), and then performs clustering analysis using the information about subgroups. Finally, it makes recommendations using cluster-indexing CF based on...