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Figure 2. Article curation process for conducting the literature review.
Figure 3. Distribution of selected articles into three established categories.
relationships present within systems, such as relevant keywords or co-authorship networks. Its ability to
reveal node centrality, network modularity, and connectivity patterns proves invaluable in disciplines such
as social network analysis, epidemiology, and information retrieval, where a grasp of relational dynamics
informs strategic planning and system optimization. Figures 4 and 5 show network and density
visualizations of the extracted literature dataset, respectively.
Aerial swarm operations face a multitude of challenges both due to internal and external factors. The
resilience of UAV swarms is an integral need due to the dynamic environment in which these swarms
usually function. The authors have previously comprehensively examined UAV swarm systemic
[15]
composition and categorized it into components and modules . The major system operations are
condensed into seven recognized components: Communication, Movement, search and rescue (SAR),
Security, Resource and Task Handling, Agent Properties, and Resilience Evaluation. Each component has
one or more modules, which are integral systemic connections that make up a corresponding component.
These components are based on core elements of swarm systems and generalized swarm architectures such
[10]
as those presented in combined with bibliometric analysis of prevalent literature on UAV swarms . As
[16]