[Vol. 09, No. 08] [August 2023]

This study explores the development of cybercrime research by conducting main path analyses. Cy-bersecurity and cybercrime are ever-growing global concerns, and the key message from many of the relevant authorities is that we are a long way from a cyberspace that is trustworthy or secure. Studies were selected from the Scopus database, and the Main Path software was used to analyze the trajectory of cybercrime research. The most influential journals were selected according to their g-indices and h-indices. Studies with identical topics were then grouped into clusters. Wordle was used to identify the keywords in each cluster that were presented in a word cloud and serve a reference for cluster naming. The five largest clusters were "effect of the routine activ-ity theory on cybercrime," "effect of police–community partnerships on cybercrime," "effect of network com-munication technology on cybercrime," "effect of Internet users’ concept of security on cybercrime," and "effect of write print identification technology on cybercrime." Thereafter, the trajectories of each cluster were identified, and suggestions for future research were provided.
Key Words: information security; cyber security; citation analysis; cluster analysis; computer crime; cybercrime; main path analysis

The following article is about the analysis of Pollutant Dispersion Models based on Gaussian and Parabolic Models and a comparison with Hyperbolic Models, looking at some of their properties and applications, an introduction to the study of Diffusion in these Models and their results is made.
Key Words: Diffusion Equation, Diffusion and Advection Equation, Gaussian Models, Operator Separation Method, Hyperbolic Model