China 
Africa 
Explore chapters and articles related to this topic
Fratricide, Expectations, Situation Awareness and Teamwork
Published in Laura A. Rafferty, Neville A. Stanton, Guy H. Walker, The Human Factors of Fratricide, 2012
Laura A. Rafferty, Neville A. Stanton, Guy H. Walker
In order to validate the model and further explore the factors, a social network analysis (Driskell and Mullen 2005) was undertaken on the factors and their interactions. Social network analysis is a method used to produce models illustrating the non-linear relationships between factors in a system. Social network analysis aligns with general systems theory in that it describes interactions within the context in which they occur (Driskell and Mullen 2005). The matrix of relationships was inputted into a social network analysis software application called Applied Graph and Network Analysis (AGNA) (Benta 2003). The AGNA software produced a visual representation of the relationships between the factors and the comparative strength of these links. Figure 1.3 below illustrates this interaction:
The Event Analysis of Systemic Teamwork (EAST) Method
Published in Neville A. Stanton, Paul M. Salmon, Guy H. Walker, Systems Thinking in Practice, 2018
Normally, video and audio recording devices are used to record the activities under analysis. A drawing software package such as Microsoft Visio is also typically used to reproduce the networks. The HTA tool or other task analysis tools can be used to support development of the task network. The AGNA social network analysis software tool is typically used to quantitatively analyse the networks, and the Leximaner thematic analysis tool can be used to construct information networks directly from verbal or communications transcripts (e.g. Salmon et al. 2014b).
The effect of safety communication network characteristics on safety awareness and behavior in a liquefied natural gas terminal
Published in International Journal of Occupational Safety and Ergonomics, 2021
The collected data from interviews were coded into a Microsoft Excel version 16.0 file by the two authors of this study. Coded data were analyzed by Social Network Analysis software (UCINET version 6.631) to explore the communication patterns and SNA metrics [72]. Blaschke et al. [80] stated that SNA was the most appropriate method for examining the characteristics of communication. SNA was used to show the connections among team members of the LNG terminal and focused on their interaction of safety-related information. The networks that have been analyzed were both ego and full networks at the team level. Interactions of safety-related information within the teams and between teams were demonstrated by sociograms. The NetDraw function of UCINET was applied to visualize the sociograms of the teams’ safety communication network. Sociograms consisted of nodes (actors) and ties (links, relationships). In this study, SNA metrics including density, degree centrality, betweenness centrality and tie strength were measured using UCINET SNA to examine their influences on safety awareness and behavior. Basically, each of these metrics was calculated through the analysis to obtain distinctive information about the roles of actors in the network. Here, tie strengths were coded as the frequency of safety communication between team members. Interviewees were asked to rate these as 1 = once a month, 2 = biweekly, 3 = weekly, 4 = daily and 5 = more than once a day. In the case of different responses to frequency of safety communication between two participants, they were asked again to clarify the confusion. Lastly, the outcomes gained from SNA metrics and channel variety were correlated using SPSS version 23.0. The independent variables included the density, tie strength and number of channel varieties that were used during a safety communication process. The dependent variables were the safety awareness and behavior levels.