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In this chapter different network operations are described in SGL, which may be useful for security applications. Basic network management mechanisms are expressed, capable of working on their own even if traditional communications and internet includings are damaged. These include network creation from scratch, finding paths between nodes, and creating routing tables (RT) allowing for shortest path communications. Also is shown the use of SGT for analysing distributed networks with social flavour by finding strong and weak components in them and changing their topology in crisis situations. Another example is how to outline different communities in a distributed social network, find their topographical centres and evaluate physical distances between them for predicting possible social conflicts, while doing this repeatedly together with simulation of spatial mobility of individuals in time.

This chapter develops a methodology to assist critical facility operators in designing physical protection systems to defend against a single adversary (thief, saboteur, terrorist, etc.) attack. The developed methodology utilizes a multicriteria decision-making approach that balances the competing goals of minimal security system cost and maximum system performance. The methodology utilizes a network-based approach to facility security system design and analysis, which locates physical protection (detection, delay, and response) elements throughout a facility. These elements enable the facility owner to prevent attacks through deterrence and to defeat the adversary if he or she chooses to attack. The developed approach results in the ability for the facility operator to assess relative facility and/or infrastructure safety, and make decisions regarding how to optimally allocate resources for physical protection elements to balance cost and performance. A hypothetical example is discussed which demonstrates the usefulness of the developed methodology.

Purpose – This study assesses the extent to which four features of work – supervision, autonomy, creativity, and skill – are associated with different structural forms of social capital. Social capital may enhance actors’ access to diverse information and resources or it may foster mutual commitment and trust. Actors’ draw on these social connections, and the resources embedded therein, when they engage in work activities. The study considers how dense and diverse network structures serve complementary functions to actors engaged in creative and autonomous jobs or for reproducing inequality within firms.Methodology – The analysis uses nationally representative survey data and the position-generator approach to social capital measurement to determine the relationship between three social capital constructs – diversity, hierarchy, and density – and respondents’ work characteristics.Findings – Supervisory, autonomous, creative, and highly skilled workers all have more diverse social networks. Supervisors and skilled workers also have access to high-status contacts. Finally, creative and autonomous workers have more dense social networks.Originality/value – Findings suggest that density and diversity are useful to actors engaged in self-directed or creative work tasks. These findings support theories of complementary network structures that combine access to unique information with the collective ability to pursue goals.

This chapter begins with an exploratory approach to understanding how online branded video results in positive impressions among viewers. Scholars have examined the characteristics of videos that contribute to their appeal (e.g. Ashley & Tuten, 2015; Berger & Milkman, 2012; Botha & Reyneke, 2013; Dafonte-Gomez, 2014; Southgate, Westoby, & Page, 2010). Separate strands of literature have identified social practices and emotions likely to influence the perceptions of branded content. This chapter bridges the gap between those two strands by asking which social practices produce the emotions that lead to greater enjoyment of a video. Using a series of multiple regressions, we constructed a path analysis model linking key social practices and emotions that lead to positive evaluations of branded videos. The model provides strategic direction for the makers of online branded video.