Oriental Journal of Computer Science and Technology An International research journal of Computer Science and Technology

This paper introduces a preliminary agent-based simulation model that seeks to analyze individual-level behaviors. The model is guided by theory and previous empirical studies on riot simulation. Data on the evolution of the contagion processamong assembled civilian agents is collected to better understand how the ratio of various civilian groups affectsriot development. Numerous variables including the severity of punishment in the form of increased jail sentences for activist civilian agents, the ratio of police to civilian agents, and various contagion thresholds among civilian agents are analyzed. Results from the simulation suggest among other thingsthat thegreaterthe density of activistcivilian agents attending public demonstrationsthe more powerful the contagion and the more quicklyapeaceful protest can be transformed into to a riotous mob. Additionally, increasing levels of guardianship in the form of policedecreases the likelihood of a riot occurring even when group emotions escalate.Limitations of the current model are discussed in addition to the findings, and the future direction of agent-based models on riot simulation. 

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Formerly existing graph mining algorithms regularly accept that database is generally static. To defeat that we proposed another algorithm which manages extensive database including the components which catches the properties of the graph in a couple of parameters and check the relationship among them in both left and additionally right course, in this way embracing DFS and in addition BFS approach. It furthermore discovers the subgraph by traversing the graph and removing the planned routine. The proposed calculation is utilized for identification of wrongdoing as a part of BANK & Financial organization by catching the properties and distinguishing the relationship and affiliations that may exist between the individual required in that wrongdoing which keep a few violations that may happen in future. We have utilized the Neo-ECLIPSE for the execution of proposed calculation and Neo4j is the graph database utilized for evaluation.

On the off chance that a man  endeavoring to confer fraud or engage in some kind of illicit movement, they will endeavor to pass on their activities as near authentic activities as could reasonably be expected. Here in this paper, we are giving the data that a man who is in beginning the phase of the fraud, what co-related wrongdoings or illicit exercises he can do in future. The future exercises that can be performed by the individual can be ceased by demonstrating the associations with the entries saved in the database.

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