From 1960 to 1975, 20 articles about social network analysis were listed in Sociological Abstracts. From 1990 to 2005, the number was over 3000. No one today is more equipped to explain how this happened than Linton C. Freeman. Freeman divides the history of social network analysis (SNA from here on) into four eras: (1) everything up to the end of the 1920s; (2) the 1930s; (3) the 30 years from...

OBJECTIVE In this research, we aim to investigate the necessity of incorporating geographical contacts into Social Network Analysis (SNA) for contact tracing in epidemiology and explore the strengths of multi-mode networks with patients and geographical locations in network visualization for disease spread investigation. BACKGROUND In epidemiology, contact tracing is a process to control the sp...

the importance of zagros forests and interdependence of local communities to forest resources have led to complexity of its management. the role of local communities and investigating their relations toward implementation of natural resources co-management are undeniable. social network analysis (sna) approach is a new method which illustrates relations among local beneficiaries and has importa...

In this paper we talk about speeding up calculation of graph metrics and layout with NodeXL by exploiting the parallel architecture of modern day Graphics Processing Units (GPU), specifically Compute Unified Device Architecture (CUDA) by Nvidia. Graph centrality metrics like Eigenvector, Betweenness, Page Rank and layout algorithms like Fruchterman-Rheingold are essential components of Social N...

The governance of IT outsourcing (ITO) has been identified as an essential determinant for ITO success. While prior studies have shed light on how to determine effective governance to inform practice, little research attention has been reversely initiated from practice when certain governance model is implemented. In this paper, I have addressed two concepts of Governance-in-Contract (GiC) and ...

BACKGROUND Social network analysis (SNA) has been widely used across a range of disciplines but is most commonly applied to help improve the effectiveness and efficiency of decision making processes in commercial organisations. We are utilising SNA to inform the development and implementation of tailored behaviour-change interventions to improve the uptake of evidence into practice in the Engli...

Social network analysis (SNA) is based on a conceptual network representation of social interactions and is an invaluable tool for conservation professionals to increase collaboration, improve information flow, and increase efficiency. We present two approaches to constructing internet-based social networks, and use an existing traditional (survey-based) case study to illustrate in a familiar c...

This paper brings a marriage of two seemly unrelated topics, natural language processing (NLP) and social network analysis (SNA). We propose a new task in SNA which is to predict the diffusion of a new topic, and design a learning-based framework to solve this problem. We exploit the latent semantic information among users, topics, and social connections as features for prediction. Our framewor...