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Network forensics is a sub-branch of digital forensics relating to the monitoring and analysis of computer network traffic for the purposes of information gathering, legal evidence, or intrusion detection. [1] Unlike other areas of digital forensics, network investigations deal with volatile and dynamic information.
Researchers employ social network analysis in the study of computer-supported collaborative learning in part due to the unique capabilities it offers. This particular method allows the study of interaction patterns within a networked learning community and can help illustrate the extent of the participants' interactions with the other members ...
In mathematics, computer science and network science, network theory is a part of graph theory. It defines networks as graphs where the vertices or edges possess attributes. Network theory analyses these networks over the symmetric relations or asymmetric relations between their (discrete) components.
Network science is an academic field which studies complex networks such as telecommunication networks, computer networks, biological networks, cognitive and semantic networks, and social networks, considering distinct elements or actors represented by nodes (or vertices) and the connections between the elements or actors as links (or edges).
Network analysis can refer to: Network theory, the analysis of relations through mathematical graphs Social network analysis, network theory applied to social relations;
Ideas and tools from network science and engineering have been applied to the analysis of metabolic and genetic regulatory networks; the study of ecosystem stability and robustness; [11] clinical science; [12] the modeling and design of scalable communication networks such as the generation and visualization of complex wireless networks; [13 ...
In computer network research, network simulation is a technique whereby a software program replicates the behavior of a real network. This is achieved by calculating the interactions between the different network entities such as routers, switches, nodes, access points, links, etc. [1] Most simulators use discrete event simulation in which the modeling of systems in which state variables ...
Knowledge discovery is an iterative and interactive process used to identify, analyze and visualize patterns in data. [1] Network analysis, link analysis and social network analysis are all methods of knowledge discovery, each a corresponding subset of the prior method.