Adolescence is a transitional period during which a number of changes occur. Social relationships established during this period influence adolescent behaviour and affect academic performance or alcohol consumption habits, among other issues. Teachers are very important actors in observing and guiding the evolution of their students, and should therefore have the appropriate knowledge and tools...

By switching the level of analysis and aggregating data from the micro-level of individual cases to the macro-level, quantitative data can be analysed within a more case-based approach. This paper presents such an approach in two steps: In a first step, it discusses the combination of Social Network Analysis (SNA) and Qualitative Comparative Analysis (QCA) in a sequential mixed-methods research...

Social Network Analysis (SNA) is an established discipline for the study of groups of individuals with applications in several areas like economics, information science, organizational studies and psychology. In the last fifteen years the exponential growth of on-line Social Network Sites (SNSs) like Facebook, QQ and Twitter has provided a new challenging application context for SNA methods. Ho...

Wireless Mesh Networks (WMNs) consist of radio nodes organized in a mesh topology for serving wireless mesh clients to communicate with one another or to connect to the Internet. Nodes in a mesh network can communicate with each other either directly or through one or more intermediate nodes, similar to social networks. WMNs share many common properties with social networks. We first identify t...

Technological threats to privacy are not limited to data protection. Social Network Applications (SNA) and ubiquitous computing or Ambient Intelligence face other privacy risks. The business model of SNA and the improvement of data mining allow social computation. SNA Regulation should then favor privacy-by design and Privacy Enhancing Technologies (PET). Default friendly-privacy policies shoul...

Interaction among health system sections is one of the main contributing factors for progress of biomedical fields. Such interaction requires sharing the knowledge in properly designed networks of researchers and clinicians where experience meets expertise to create new knowledge. As an infrastructure for approaching this idea, there is a need for development of integrated databases for identif...

The paper presents a scalable and generalized approach to social network analysis using fuzzy graph theory. It proposes an intelligent sociocentric that calculates the degree of potential relationship finite size by proposing model. takes into account entity functional relational attributes simultaneously. computes in two steps. first step pairwise between all nodes or entities incorporating pr...

Social networks analysis (SNA) has recently been used in veterinary epidemiology to study livestock movements. A network is obtained by considering livestock holdings as nodes in a network and movements among holdings as links among nodes. Social networks analysis enables the study of the network as a whole, exploring all the relationships among pairs of farms. Highly connected livestock holdin...

We investigate a sequence of dynamic criminal networks on a time series based on the dynamic network analysis (DNA). According to the change of networks’ structure, networks’ variation trend is analyzed to forecast its future structure. Finally, an optimal arresting time and priority list are designed based on our analysis. Better results can be expected than that based on social network analys...

In this study, we explore patterns of organizational communication during normal state and crisis state using e-mail communications data. We apply social networks analysis (SNA) to understand the communication behavior and its structural changes during crisis from a real-world organization’s communication data. By applying SNA, we first analyze the changes of social network structures from norm...